Data Science Training in Chennai

data science training in chennai

Data Science Training in Chennai

Besant Technologies Provides Best Data Science Training in Chennai– Velachery, Tambaram, OMR, Porur, Anna Nagar, T-Nagar, Adyar, Thiruvanmiyur, Siruseri and Maraimalai Nagar. We train the students from basic level to advanced concepts with the real-time environment.

We offer Best Data Science Courses in Chennai with 100% Placement Assistance. We rated as the No 1 Training Institute for Data Science/Analytics Courses with Python, R, SAS, and Excel. From this Data Science Training, you will get real time exposure in statistics, Machine Learning, Deep Learning, Tensorflow, Artificial intelligence and machine learning algorithm Concepts.

About Data Science Course

This course includes concepts from statistics, computer science, & software engineering. We learn the necessary skills to manage & analyze data. We learn concepts such as exploratory data analysis, statistical inference, machine learning, & high dimensional data analysis.

What are objective of our Data science training?

We, at Besant Technologies, provide the best training for Data Science course. We have designed the course in such a way that helps to kickstart your career into the data science field and to take up different roles such as Data Scientist, Data engineer, Data analyst and so on.

We design the syllabus as per the latest industry standards.

  • Our trainers provide real-time training with live projects which will help you to have a deeper understanding of the subject.
  • We provide the training in various modes such as online, classroom on both weekday and weekend batches.
  • Our training schedule is very flexible to suit your available timings.
  • Our Data science course will help you to crack-related interviews in top MNCs since our trainers will guide you throughout the process by sharing their real-time experience in relevant fields.

Why Should you go for Data Science Training?

  • Data Science has become the “buzzword” of the decade. Harward business review has called it the “hottest job of the 21st century”. Data Scientist and Data architects are one of the highest paid roles nowadays. According to LinkedIn, Data Scientist is one of the most promising jobs in 2018.
  • According to UNECE statistics, Global data growth has increased from 5 ZB(ZettaBytes) in 2014 to 40 ZB in 2020. It is evident that Global data has been increasing at an enormous rate. Hence, Data science is the future.
  • Those who are passionate about working with cutting edge technologies should really consider a career in Data Science.

Who should go for Data Science Training?

  • Candidates having some database experience can move to Data science.
  • Top MNCs look for professionals with Data Science experience for various Data Science roles such as Data Engineer, Data Scientist, Data analyst, etc.
  • This training is suitable for software professionals preferably from programming and database background.
  • A lot of professionals have migrated from their current developer role to the Data Science field.
  • Anyone who wants to explore data patterns and has a passion for data analytics can come out with flying colors.

How will Data Science Training help your Career?

  • Since top companies don’t usually prefer freshers for these roles, experience in real-time Data science projects will be an added advantage.
  • Our training is focused on covering all basic syllabus related to Data Science along with real-time Lab exercises. Our live projects will help you to understand the subject in an extensive way and prepare you to face interviews with top companies for Data science roles.
  • Our trainers will share with you their experience and guide you to solve real-time problems. Either Online or classroom training is mandatory to start a career in Data Science.

what are prerequisites for Data Science Training?

    • Good Programming skills in at least one programming language. Knowing Python or R language will be helpful
    • Database skills. Eg: SQL.
    • Good analytical and mathematical skills.

What Skills will you learn in Data Science Training?

Companies prefer people with relevant experience to fill their Data science-related positions. The two common languages used are Python and R along with SQL.

The following are the skills that are associated with data science.

  • Programming knowledge in languages such as Python, R, Java, etc.
  • Data skills: Database background will really be helpful. Having worked extensively with databases such as Mysql, MSSQL, Postgre, MongoDB, Oracle, NoSQL, etc will be an added advantage.
  • Descriptive Statistics: To gather data and to analyze sample data and summarize it.
  • Data visualization: To help view the data using visual representations like graphs, plots and help understand the correlation, time series, ranking, deviation, and geographical differences.
  • Statistical modeling: The idea of generating a sample data based on given large data.
  • Big data: Dealing with complex and very large data sets. Spark, Hive, MongoDB, Amazon Redshift, Apache Kafka have become the common choice for big data platform.
  • Machine learning algorithms: The statistical modeling and algorithms that make predictions based on data.

Click Here! Get Free Data Science Tutorial!

Batch Schedule for Data Science Training in Chennai

Besant Technologies provides flexible timings to all our students. Here are the Data Science Training Classes in Chennai Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Different Modes of Data Science Training in Chennai

Get enrolled for the most demanding skill in the world. Data Science Training in Chennai will make your career a new height. We at Besant technologies provide you with an excellent platform to learn and explore the subject from industry experts. We help students to dream high and achieve it. We have Data experts as our trainers. Our trainers have been working in top MNCs in good Data science roles and have good experience in training students. We provide training in both classroom and online modes. We do Corporate training. Read More...


Individual training is a training that is individualized to take into consideration the differences between learners. It is most suitably used in a one-to-one situation. Read More...

Data Science Classroom Training

Group Training

We have many branches in Chennai and Bangalore. In Bangalore, We have branches in Marathahalli, Jaya Nagar, Indira Nagar, BTM layout, Rajaji Nagar and Kalyan Nagar. Read More...

One to One Training

We also provide one to one classroom training where students will be given full attention as the trainer’s time is fully dedicated to one student. Read More...

Fast Track Training

Fast Track and flexible term courses are no different from regular semester-length courses. Sessions are more intensive, and trainees attend class more Read More...

Data Science Online Training

Online Classroom Training

We provide online training in both one to one and batch size. This is suitable for working professionals who can grasp the subject Read More...

One to One Training

One dedicated trainer for one learner, this is an excellent way of learning to understand the content in a simple way. All the Trainers are highly qualified professional. Read More...

Fast Track Training

Fast Track and flexible term courses are no different from regular semester-length courses. Sessions are more intensive, and trainees attend class more Read More...

Corporate Training

This type of training is for companies who want to train, retrain, and jointly educate employees and managers in order to grow. We love to give corporate training as we have experienced professionals who can train you at your place with excellent teaching methodologies and help to grow your company at the highest peak. We provide world-class training for corporate professionals. This is specialized and customized training based on your business requirements.

Introduction to Data Science

This first stops in Data Science curriculum. It will help you get started with the program, plan your learning schedule, & connect with fellow students & teaching assistants. Along the way, you’ll get an introduction to working with & exploring data using a variety of visualization, analytical, & statistical techniques.

What is Data Science?

The field of data science is interdisciplinary, which encompasses a lot of areas including scientific methods, processes, systems, and algorithms. This field is deeply connected with big data and analytics. With proper training in data science, you make yourself eligible for recruitment in a lot of companies that have data handling jobs available with them. The world has been taken over by big data. And with the foothold of big data growth in the world, the need for its storage began to grow. Enterprise industries saw it as a challenge till somewhere around 2010. At that time, more emphasis was being laid on building solutions and frameworks for the storage of data. Then came frameworks like Hadoop that indeed solved the problem of data storage.

But then a new problem arose- processing of this stored data. Here comes the role of data science. In Hollywood sci-fi movies, you see a lot of seemingly unrealistic ideas. Believe it or not, all such ideas can be turned into reality with the help of data science. In another way, you can say that the future of artificial intelligence lies in data science. And that is probably the reason why data science and its courses are so much in demand. People want to learn it for lucrative IT career options. So, data science, which is a concoction of machine learning principles, algorithms, and various tools, is used to figure out concealed patterns in raw data. It is because of data science that data can be used to add value to any business. Predictive causal analytics, prescriptive analytics, and machine learning are the elements that together render data science helpful in making decisions and predictions. Here, it would be valuable to add that the future lies in the hands of data scientists. The need for data scientists that have expertise over the subject is growing with each passing day. What more? Well, data science is changing the way people look at the world flooded with data.

What is Data science in simple words?

Combination of machine learning, Deep learning & AI.

  • Data Science is the branch of science use the knowledge of Mathematics, Statistics, Computer Science and Business to analyze data insights and to take action based on these data. These scientific methods will help in making better decisions to solve critical business problems.
  • Any company that makes data-driven decisions is dependent on its data scientists for its future.
  • Data Scientist is someone who works with data and who has more expertise than that of a scientist, statistician, and a software engineer. Data Scientist should develop statistical algorithms and deal with big data.
  • Data Engineer is someone who has a deeper understanding of data and its infrastructure and finds, transforms and cleans data.
  • Data Analyst is someone who presents solutions to a business problem by analyzing data and using visualization techniques. Data analyst use Microsoft Excel, Tableau, SAS and work with queries. They don’t deal with Big data technologies.

What skills are needed to be a Data Scientist?

  • A data scientist should be expert in multiple skills such as Mathematics, statistics, Big Data.
  • Data Scientist should have a deeper understanding of Mathematics, Statistics and should have good analytical skills to understand patterns in these data.
  • Should be able to develop machine learning algorithms that are capable of doing predictive analysis and generate sample data based on given datasets.

What is the use of Data Science?

Business Development & Analysis using Data.

Why is Data Science Important?

  • The fast increasing Global data, advancement of technologies, the growth of AI and machine learning – All these make big companies make data-driven decisions. Hence, Big companies depend on data to make important financial decisions. Data science is applied in Finance, Insurance, Gaming to make use of their structured and unstructured data and to make rational decisions.
  • Data science has become inevitable in numerous fields and is undoubtedly the most-sought-after role nowadays.

What is the Difference between Big data & Data science?

  • It could be a bit confusing to differentiate between Big data and Data science.
  • Data Science is the branch of science that deals everything about data from the cleansing, preparation, analysis of data. This is applied primarily in internet searches, Fraud detection, Digital advertisements.
  • Big data refers to complex and very large data sets which are unstructured and cannot be easily handled using traditional data processing tools. It involves data storage, analysis, visualization of these data and finds the insights from them to take strategic business decisions. This is applied in Financial services, Telecommunications, Commerce, Health and Sports..

What is a Data Scientist VS Data Analyst?

  • Data Scientist works at much a deeper level compared with the data analyst.
  • Data analyst just works with analyzing and querying data using simple tools like SQL, Excel and provides solutions to the business problems presented to them. Data Scientist deals with Big data (Unstructured data).
  • But, Data scientist creates business questions, analyses data patterns and creates a statistical model to find answers to those questions and use visualization techniques to help others understand their findings. They solve critical business problems and make companies take strategic decisions.

What is the difference between a Data Engineer & a Data Scientist?

  • Data Engineer deals with data warehouses. Data engineer is exposed to data architecture who designs, builds, works with data. Data engineer is responsible to maintain the accuracy and availability of data.
  • Data Scientist, on the other hand, will develop deeper insights from the data maintained by the data engineer.

Should one be a Data Engineer or a Data Scientist?

  • Data engineers usually have a programming background whereas the data scientist comes from the mathematical background. According to Glassdoor, the number of jobs for Data engineers is 5 times more than the data scientist jobs.
  • Data engineer develops, constructs, maintains data. Data engineer works with tools such as MongoDB, Redis, Hive, SAP, other database tools.
  • Data Scientist develops insights and solves business needs. Data Scientist uses Tableau, SAS, SPSS, Rapidminer. Both of these roles use tools such as Spark, scale, etc.
  • If you have good database background and strong technical skills, go for Data Engineer role.
  • If you have good analytical skills, mathematical, statistical skills along with technical expertise, You can build your career as a Data Scientist.

Click Here to Check Latest Updated – Data Science Interview Questions and Answers

Data Science Exams & Certification

Having a certificate for Data science will increase your placement chances in top companies. Candidates possessing data science certificates stand out from the crowd and have a greater probability of achieving their dream careers. There are many standard industry recognizable data scientist certification programs.

Who provides Data Science Certification?

Besant technologies provide the certificate for Data Science. It helps the candidates to prove their skills with industry standards.

Which Certification is Best for Data Science?

Besant Technologies is a reputed institute that has trained over 10000 plus students. Besant technologies’ certificate for Data science will help you to kickstart your career as a data scientist and will help you to land in data science job. Besant Technologies certification will help you to gain real-time hands-on experience from industry guru’s.

How long does it take to complete Data Science course?

The duration differs for weekday and weekend batches. For weekday batches, the estimate duration is between one to two months. For weekend batches, the estimate duration is about two months. For fees details, Kindly contact us.

How many attempts do I have to pass the Data Science course exam?

You can take Exam untill you pass it. there is no limited attempts.

If I fail Data Science exam, how, soon can I retake it?

We conduct exams and provide certificates And if one fails, the exam can be retaken immediately. [

Advantages of Data Science Certification Courses in Chennai

There is no industry these days, that doesn’t deal with data. To be honest, data is everywhere. And to extract meanings out of so much of the data available at hand, you need data science knowledge. But where to get this knowledge from? Well, there is no dearth of Data Science Certification Courses these days. All you need is to select one as per your need and convenience and you are good to go. With a certification course in data science, you can make yourself eligible for any data science job available in the job market. This certification acts as a testimony to your knowledge of data science.

Trainer Profile of Data Science Course in Chennai

We choose best trainers for you. The best thing about taking Data Science Training in Chennai at Besant Technologies is certainly the trainers here. They are the best you can avail of and will take care of all your academic needs. The best thing about the approach with which they impart training to the candidates is that its student-centric. That means the training imparted to you is based on your needs, demands and comfort level. The teachers do their best to make sure their knowledge and wisdom in the field of data science get effortlessly passed on to you. They don’t just have immense theoretical knowledge but also a lot of practical experience to enrich you with.

  • Our trainers are industry data experts who work in Data Science.
  • Most of our trainers work in companies and have considerable work experience in Data science field.
  • Our trainers are flexible and are available based on your timings
  • Our trainers have good experience in training and are good at demonstrating the solution for real-world data science problems.

Placement Assistance after Data Science Training :

  • Our trainers help you with each and every step in your job progress.
  • Our trainers help improve your resume and help you add the necessary skills so that your resume clears the screening process.
  • Live project experience gained from the class will help you in facing interview questions.Our trainers are available for you to reach out for any doubts or queries after course completion.
  • We conduct mock interviews for you which boosts up your confidence level and prepares you for real-time interviews.

Click Here to Know About Data science Career Opportunities

Data Science Job Opportunities

Data Science team comprises data analyst, data scientist and data engineer, data architect, and so on. There is an increasing demand for data science roles and a big gap exists between the need and the availability. Hence, markets need more engineers in data science jobs. The industry provides the best salary for the right candidate. Read More...

What jobs can you get after completion of data science course?

  • You can start as a Data analyst.
  • You can also get into Data scientist or
  • Data engineer positions.
  • There are still more roles to explore in Data science field.

What exactly does a data scientist do?

Data scientist deals with big data and helps organizations take strategic business decisions in solving their critical business problems.

What is a data scientist salary?

  • Start-ups pay an average salary of about 10.8 lakhs to data scientists.
  • Salary can go as high up to 25 lakhs per annum.
  • Tier 1 companies pay the best in the industry for data scientists.

How much do entry level data analyst make?

Data analyst start on an average of 3.5 lakhs per annum.

What are the Top Companies hiring data science Professionals?

  • Wipro,
  • Infosys,
  • Flipkart,
  • Urban Ladder,
  • Snapdeal,
  • Amazon hires for various data science roles.

Is data science a good career option?

Data science is a very good career option to step up the ladder, as it is being one of the highest paid and niche skill of the decade. Data Science is the domain which has an evergreen future. A lot of companies invest good money in doing research and innovate in this field.

Click Here to Know About Data Science is Backbone of IT Industry?

Live Data Science Projects :

Our Live data science projects are designed based on the industry related problems and simulate the working experience of data science fields.

What are the System Requirements to attend Data Science Training?

We will help you set up the software requirements in your personal laptops. Our trainers will guide you in setting up all the software requirements. It is highly recommended to carry your personal laptops in case of classroom training.

How will I execute practical exercises during Data Science training?

After setting up the software requirements, you can execute all classroom and hands-on labs in your personal laptop. We will give you practical assignments to do during class and at home. All exercises and course notes will be shared in softcopy only.

We will provide complete support for you to finish all your assignments. These assignments are designed based on industry problems and simulate the working experience in the relevant field.

What projects will I complete as part of the course?

Projects are live and are more closely related to real-time problems which help you to grasp the syllabus easily. Our projects will help you to have a deeper understanding of the subject.

Key Features of Data science Course in Chennai

Besant Technologies offers Data Science Training in Chennai in more than 7+ branches with 10+ years Experienced Expert level Trainers. Here are the key features,

Why Should I Learn Data Science from Besant Technologies?
  • 35 Hours to 45 Hours Course Duration
  • Industry Expert Faculties
  • Completed 500+ Batches
  • 100% Job Oriented Training
  • Certification Guidance
  • Learning from industry experts
  • Live projects
  • Real-time problems and solutions
  • Flexibility
  • Availability
  • Connectivity with more branches
  • Exam and Certification
  • Placement assistance
  • Mock interviews
  • Frequently Asked Questions

Data Science Course in Chennai

Although there are many IT training institutes in Chennai, you cannot take a data science course from any random institute. For desired results, you need to enroll yourself with Besant Technologies, the best institute offering Data Science training in Chennai. Besant Technologies offers Best Data Science Training Courses in Velachery, Tambaram, OMR, Porur, Anna Nagar, T-Nagar, Adyar and Thiruvanmiyur in Chennai. We teach students everything that is important- starting from basic to advanced concepts, that too in a real-time environment.

Data Science with Python Training in Chennai

We teach you how to make use of python to look at the world of data visualization. With this knowledge, you will be able to craft your own amazing visualizations on the basis of real data. Python, being a powerful tool for statistical analysis, helps you with easy handling of data. With great readability and productivity, python does change the way you deal with data. For repeated tasks and data manipulation, there is nothing that can beat the efficiency of python in the matter of data science. Hence, if you are looking for Data Science with Python Training in Chennai, we are who you should contact without doubts and apprehensions.

Data Science With R Training in Chennai

R is an open source framework that traditionally used to be a major help in the fields of research and academics. Its applicability has, however, grown over time. And today, we can find its use in many fields other than the two mentioned above. There are good options in R for parallel computations. And it actually has amazing data handling capabilities. Although there are many applications of R, its best for exploring data sets and ad hoc analysis. An important benefit of handling data with R is that the latter’s library of statistical packages is huge. Starting from finance and genetics to psychometrics, R packages almost cover everything.

Data Science training with Advanced SAS: Macros & SQL

Advanced SAS that covers both Macros and SQL has huge varieties of statistical functions. Although there are many tools that help with data science, SAS has special significance not just in the field of data science but also advanced analytics. Throughout its rule in the market, it has been superbly adaptable and plastic. Reading data from all kinds of databases is possible with SAS. Tasks like processing of data on the RAM get easily pulled off by SAS. The probability of distribution of data and complex simulations have always been easy with SAS. You will be glad to know that we, at Besant, teach all the nitty-gritty involved in using SAS Advanced: Macros and SQL in the field of data science.

Data Science course in Chennai with Excel Macro

Data strategies have become all pervasive. Starting from institutional sectors to business, almost everywhere you will find the requirement of data handling. You can consider excel to be a bridge software that helps non-data scientists to do data related work. To acquire data-centric skills and projects, learning Excel macros is a must. Excel offers a lot of statistical functions. The modeling and data analytics capabilities of Excel are also worth taking note of. Handling real-time data with Excel is a breeze. Data validation is also something you can do with the ease with excel. Hence, excel can be a great armor in your arsenal for data science.

Prerequisites to Learn Data Science course in chennai

Over the years, data science has become an essential part of every business. It solves many problems within a given field through data analysis and interpretation of various data. There are few online resources stating that the candidate needs to be skilled in database query languages, software development, mathematics, programming visualization station, statics the etc as a basic requirement to become a data scientist. Read More...

Technical skills

  • Ph.D. or Masters a necessary
  • Math or Statistics compulsory
  • Hard-core programmer
  • SQL and Hadoop skills
  • Data science degree
  • Machine learning concepts

Is Master’s or Ph.D. is necessary?

Masters degree or a Ph.D. in data science is required for professionals who need to place themselves in the top positions with some good years of experience. But it is not required for a beginner and also there is the number of possible ways available today to learn data science for working professionals even which are flexible yet valuable. The real Data science experience is gained by the real time experience gained in addition to the course. But still, expertise with a Ph.D. can always prove with their knowledge and be in the top positions. This scenario is very true with Google, as they recruit only the Ph.D. or Masters degree holders for Data scientist positions.

Is a degree in Math or Statistics is needed?

People from diverse backgrounds like economics, operations research, statistics, computer science, mathematics etc are practicing as the data scientist. This is because, being familiar with the basic concepts of statistics and maths with linear algebra, probability, calculus etc is essential to understand data science.

Programming skills are needed or not?

Programming and well versed with its terms is the basic requirement of a data scientist. Having a basic knowledge and programming skills of C, C++ or Java is required, as this will help in understanding the programming tools like R ad Python. Writing efficient code and analyze big data with those codes is all about data science. Though expertise programming skill is not required the basic knowledge is mandatory.

Are SQL and Hadoop necessary?

SQL language fundamentals in creating indexes, group by, joins etc is necessary to understand data science. Also, the basic SQL knowledge will help in understanding the hadoop cluster. The emerging technologies like MapReduce, Hive, and Pig etc will be easy for a SQL and HADOOP programmers to learn.

What is the Educational Qualification for Data Science?

Though a data science degree is not required, it will help in better understanding the concepts. Today, technology is helping us to learn all these courses through MOOC from wherever we are. But still learning these courses will not be helpful in learning the soft skills and managing skills required for data scientist job.

Is Necessary to know Machine Learning?

Machine learning, being an integral part of data science, can be learned during the intermediate or advanced levels. But if you are skilled with machine learning, then you are half the way in your expert skills.

Syllabus for Data Science Training in Chennai

Besant Technologies boasts of being the Best Data Science training institute in Chennai. And the syllabus for this course has been broken down below (not in any specific order) for your convenience.

Data Science with Python Training Syllabus

Module 1: Introduction to Data Science (Duration-1hr)

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Module 2: Introduction to Python (Duration-1hr)

  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview

Module 3: Python Basics (Duration-5hrs)

  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels

Module 4: Python Packages (Duration-2hrs)

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library

Module 5: Importing data (Duration-1hr)

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Module 6: Manipulating Data (Duration-1hr)

  •  Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques

Module 7: Statistics Basics (Duration-11hrs)

  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
  • Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  •  Bias variance Trade off
    • Underfitting
    • Overfitting
  • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
  • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • catter plot
    • Cook’s Distance
  • Missing Value treatments
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
  • Correlation
    • Pearson correlation
    • Positive & Negative correlation
  • Error Metrics Duration-3hr
    • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
  • Regression
    • MSE
    • RMSE
    • MAPE

Module 8: Machine Learning

Module 9: Supervised Learning (Duration-6hrs)

  • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
  • Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure
    • ROC curve
    • Bias Variance Tradeoff

Module 10: Unsupervised Learning (Duration-4hrs)

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

Module 11: Other Machine Learning algorithms (Duration-10hrs)

  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest
For More Details About Data Science with Python Course Click Here!

Data Science with SAS Training Syllabus

Overview of SAS

  • Introduction and History of SAS
  • Significance of SAS software solutions in various industries
  • Demonstrate SAS Capabilities
  • Job Profile / career opportunities with SAS worldwide?

Base SAS Fundamentals

  • Explore SAS Windowing Environment
  • SAS Tasks
  • Working with SAS Syntax
  • Create and submit a SAS sample program

Data Access & Data Transformation

  • Accessing SAS Data libraries
  • Getting familiar with SAS Data set

Reading SAS data set

  • Introduction to reading data
  • Examine structure of SAS data set
  • Understanding of SAS works

Reading Excel worksheets

  • Using Excel data as input
  • Create as sample program to import and export excel sheets

Reading Raw data from External File

  • Introduction to raw data
  • Reading delimited raw data file (List Input)
  • Using standard delimited data as input
  • Using nonstandard delimited data as input
  • Reading raw data aligned to columns (Fixed or column input)
  • Reading raw data with special instructions (Formatted input)

Writing to an External file

  • Write data values from SAS data set to an external file

Data transformations (Data step processing)

  • Create multiple output datasets from single SAS dataset
  • Writing observations to one or more SAS datasets
  • Controlling which observations and variables to be written to output data

Creating subset of observations using

  • Where condition
  • Conditional processing using: IF statements

Processing Data Iteratively

  • Iterative DO loop processing with END statement
  • DO WHILE & DO UNTIL Statement
  • SAS Array statement

Summarizing data

  • Creating and Accumulating total variable (Retain)
  • Using Assignment statement
  • Accumulating totals for a group of data (BY group)

Manipulating Data

  • Sorting SAS data sets
  • Manipulating SAS data values
  • Presentation of user defined values /data/currency values using FORMAT procedure
  • SAS functions to manipulate char and num data
  • Convert data type form char-to num and num-to-char
  • SAS variables lists/ SAS variables lists range
  • Debugging SAS program
  • Accessing observations by creating index

Restructuring a SAS data set

  • Rotating with the data step
  • Using the transpose procedure

Combining SAS data sets

  • Concatenation
  • Interleaving
  • One to one reading
  • One to one merging (with non-matching)
  • Match merging (Merging types with IN=option)

SAS Access & SAS Connect

  • Validating and cleaning data
  • Detect and correct syntax errors
  • Examining data errors

Analysis & Presentation


Producing detailed /Summary Reports

  • Freq Report
  • Means Report
  • Tabulate Report
  • Proc report
  • Summary report
  • Univariate report
  • Contents report
  • Print report
  • Compare proc
  • Copy proc
  • Datasets proc
  • Proc append
  • Proc delete

Generating Statistical Reports using

  • Regression proc
  • Uni/Multivariate proc
  • Anova proc

Generating Graphical reports using

  • Producing Bar and Pie charts (GCHART Proc)
  • Producing plots (GPLOT Proc)
  • Presenting Output Report result in:
  • PDF
  • Text files
  • Excel
  • HTML Files

SAS/SQL Programming

  • Introduction and overview to SQL procedure
  • Proc SQL and Data step comparisons

Basics Queries

  • Proc SQL syntax overview
  • Specifying columns/creating new columns
  • Specifying rows/subsetting on rows
  • Ordering or sorting data
  • Formatting output results
  • Presenting detailed data
  • Presenting summarized data

Sub Queries

  • Non correlated sub queries
  • Correlated sub queries

SQL Joins (Combining SAS data sets using SQL Joins)

  • Introduction to SQL joins
  • Types of joins with examples
  • Simple to complex joins
  • Choosing between data step merges and SQL joins

SET Operators

  • Introduction to set operations
  • Except/Intersect/Union/Outer union operator

Additional SQL Procedures features

  • Creating views with SQL procedure
  • Dictionary tables and views
  • Interfacing Proc SQL with the macro programming language
  • Creating and maintaining indexes
  • SQL Pass-Through facility

SAS Macro Language

  • Introduction to macro facility
  • Generate SAS code using macros
  • Macro compilation
  • Creating macro variables
  • Scope or macro variables
  • Global/Local Macro variables
  • User defined /Automatic Macro variables
  • Macro variables references
  • Combing macro variables references with text
  • Macro functions
  • Quoting (Masking)
  • Creating macro variables in Data step (Call SYMPUT Routine)
  • Obtaining variable value during macro execution (SYMGET function)
  • Creating macro variables during PROC SQL execution (INTO Clause)
  • Creating a delimited list of values
  • Macro parameters
  • Strong Macro using Autocall Features
  • Permanently storing and using stored compiled macro program
  • SAS Macro debugging options to track problems

Basics Statistics

  • Standard deviation
  • Correlation Coefficients
  • Outliers
  • Linear regressions
  • Clustering
  • Chi Square
For More Details About Data Science with SAS Course Click Here!

Data Science with R Training Syllabus

Module 1: Introduction to Data Science (Duration-1hr)

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Module 2: Introduction to R (Duration-1hr)

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R Studio Overview

Module 3: R Basics (Duration-5hrs)

  •  Environment setup
  • Data Types
  • Variables Vectors
  • Lists
  • Matrix
  • Array
  • Factors
  • Data Frames
  • Loops
  • Packages
  • Functions
  • In-Built Data sets

Module 4: R Packages (Duration-2hrs)

  • DMwR
  • Dplyr/plyr
  • Caret
  • Lubridate
  • E1071
  • Cluster/fpc
  • Data.table
  • Stats/utils
  • Ggplot/ggplot2
  • Glmnet

Module 5: Importing Data (Duration-1hr)

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Module 6: Manipulating Data (Duration-1hr)

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques

Module 7: Statistics Basics (Duration-11hrs)

  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
  •  Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  • Bias variance Trade off
    • Underfitting
    • Overfitting
  • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
  • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • Scatter plot
    • Cook’s Distance
  • Missing Value treatments
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
  • Correlation
    • Pearson correlation
    • Positive & Negative correlation

Module 8: Error Metrics (Duration-3hrs)

  • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
  • Regression
    • MSE
    • RMSE
    • MAPE

Module 9: Machine Learning

Module 10: Supervised Learning (Duration-6hrs)

  • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
  •  Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure
    • ROC curve
    • Bias Variance Tradeoff

Module 11: Unsupervised Learning (Duration-4hrs)

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

Module 12: Machine Learning using R (Duration-10hrs)

  • Linear Regression
  • Logistic Regression
  • K-Means
  • K-Means++
  • Hierarchical Clustering – Agglomerative
  • CART
  • 5.0
  • Random forest
  • Naïve Bayes

For More Details About Data Science with R Course Click Here!

Reviews of Data Science Course in Chennai

Ram Kumar ( Placed in Infosys)

I was a junior data scientist. It was my sheer interest in data science that compelled me to take up the data science training in Chennai at Besant Technologies. Since I already had a little knowledge of the subject, it was not really extremely difficult for me to have a grip on the course. But the training was imparted by the experienced teachers of Besant so effectively that even those fellow candidates who had no background in data science showed progress pretty fast. I benefitted a lot from this data science course in Chennai, and I can confidently say that I have developed a lot of understanding of the subject of data science through this training.

Karunakaran( Placed in Triquetro Infotech)

I always wanted to do something in the field of data science/Analytics. But I was not being able to find out a good training center. Then an ex Besant Technologies student told me about this institute. Besant Technologies has trained me so well in data science training in Chennai that I was reined in by the first company that interviewed me. I feel confident and blessed today. All thanks to Besant Technologies!

Raja( Placed in Rinalytics)

I never thought I could be a part of the IT world, given that I was not from a science background. Thankfully, Besant Technologies doesn’t need you to have any special educational background. The faculty members here taught us data science training in Chennai concepts so well, that never for a moment I felt I was no way related to technology. Now, I have joined an IT MNC. And working in a good position.

Ganga( Placed in NextOrbit)

I am an ex Besant Technologies student. Although I liked everything about the coaching center, I especially loved the way the data science training in Chennai trainers imparts the course lessons. They not just emphasize theories but also practical. With regular practical training, I have learned a lot about the subject and its applicability. This has immensely helped in my job.

Jeyanthi ( Placed in DXC Technology)

Being able to find a good data science institute from the crowd is indeed challenging. It took me a lot of time to zero in on one particular organization for data science training in Chennai. But then I am glad I chose Besant Technologies. It has a big contribution in whatever I have achieved in life.

Meena ( Placed in CTS)

I am inclined towards IT. And that is why I wanted to take data science training in Chennai from a good coaching center. When my friend told me about Besant, I did give it a second thought. But after some calculation, I went ahead and joined it. I feel thankful for myself that I did that. There is perhaps an institute that focuses so much on individual trainers’ learning and progress. Besant Technologies does, and that’s why it is different!

Frequently Asked Questions

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How about group discounts (or) corporate training for our team?

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For Any Queries Please Contact : Chennai : 8099 770 770 | Bangalore : 8767 260 270 | Online Training : 9707 250 260
Besant Technologies – Chennai & Bangalore Branch Locations

Besant Technologies - Velachery Branch
Plot No. 119, No.8, 11th Main road, Vijaya nagar,
Velachery, Chennai - 600 042
Tamil Nadu, India
Landmark - Reliance Digital Opposite Street
+91-996 252 8294 / 996 252 8293

Besant Technologies - Tambaram Branch
No.2A, 1st Floor, Duraisami Reddy Street,
West Tambaram, Chennai - 600 045
Tamil Nadu, India
Landmark - Near By Passport Seva
+91-970 725 0260

Besant Technologies - OMR Branch
No. 5/318, 2nd Floor, Sri Sowdeswari Nagar,
OMR, Okkiyam Thoraipakkam, Chennai - 600 097
Tamil Nadu, India
Landmark - Behind Okkiyampet Bus Stop,
+91-887 038 4333

Besant Technologies - Porur Branch
No. 180/84, 1st Floor, Karnataka Bank Building
Trunk Road, Porur,
Chennai - 600 116
Tamilnadu, India
Land Mark: Opposite to Gopalakrishna Theatre
+91-755 022 6990

Besant Technologies - Anna Nagar Branch
Plot No:1371, 28th street kambar colony,
I Block, Anna Nagar ,
Chennai - 600 040
Tamil Nadu, India
Landmark - Behind Reliance Fresh
+91-938 404 0493

Besant Technologies - T.Nagar Branch
Old No:146/2- New No: 48,
Habibullah Road,T.Nagar,
Chennai - 600 017
Tamil Nadu, India
Landmark - Opposite to SGS Sabha
+91-984 025 8377

Besant Technologies - Thiruvanmiyur Branch
22/67, 1st Floor,
North mada street, Kamaraj Nagar
Thiruvanmiyur, Chennai 600041
Tamil Nadu, India
Landmark - Above Thiruvanmiyur ICICI Bank
+91-938 404 0493

Besant Technologies - Siruseri Branch
No. 4/76, Ambedkar Street,
OMR Road, Egatoor, Navallur,
Siruseri, Chennai 600130
Tamil Nadu, India
Landmark - Near Navallur Toll Gate, Next to Yamaha Showroom
+91-7338 810 550

Besant Technologies - Maraimalai Nagar Branch
No.37, Ground Floor,
Thiruvalluvar Salai,
Maraimalai Nagar,Chennai 603209
Tamil Nadu, India
Landmark - Near to Maraimalai Nagar Arch
+91-979 123 7373

Besant Technologies - BTM Layout Branch
No 2, Ground floor,
29th Main Road, Kuvempu Nagar,BTM Layout 2nd Coming from Silkboard, take left at AXA company signal,
Stage, Bangalore - 560 076
Karnataka, India
Landmark - Next to OI Play School
+91-762 494 1772 / 74

Besant Technologies - Marathahalli Branch
No. 43/2, 2nd Floor, VMR Arcade,
Varthur Main Road, Silver Springs Layout,
Munnekollal, Marathahalli, Bengaluru - 560037
Karnataka, India
Landmark - Near Kundalahalli Gate Signal
+91-910 812 6341

Besant Technologies - Rajaji Nagar Branch
No. 309/43, JRS Ecstasy, First Floor,
59th Cross, 3rd Block, Bashyam Circle,
Rajaji Nagar, Bangalore - 560 010
Karnataka, India
Landmark - Near Bashyam Circle
+91- 734 916 0004

Besant Technologies - Jaya Nagar Branch
No. 2nd Floor,1575,11th Main Road,
4th T-Block, Pattabhirama Nagar, Jaya Nagar,
karnataka, India
Land Mark: Opposite to Shanthi Nursing Home
+91-733 783 7626

Besant Technologies - Kalyan Nagar Branch
No.513, 4th Cross Rd
2nd Block, HRBR Layout, Kalyan Nagar,
karnataka, India
Land Mark: Opposite to kalayan nagar Axis Bank
+91-938 404 0495

Besant Technologies - Electronic City Branch
No. 7, 3rd Floor, Ganga Enclave,
Neeladri Road, Karuna Nagar, Doddathoguru Village,
Electronics City Phase 1, Electronic City,
Bangalore - 560100, karnataka, India
Land Mark: Adjacent to HDFC Bank and State Bank Of India
+91-782 392 2180

Besant Technologies - Indira Nagar Branch
No.54, 1st Floor,
5th Main kodihalli,
Bengaluru, Karnataka 560008, India
Landmark: Behind Leela Palace Hotel,
+91-910 812 6339

Besant Technologies - HSR Layout Branch
Plot No. 2799 & 2800, 27th Main,
1st Sector, HSR Layout,
Bengaluru, Karnataka 560102, India
+91-733 783 7626

Besant Technologies - Hebbal Branch
No.29, 2nd Floor, SN Complex,
14th Main Road, E-Block Extention, Sahakara Nagar,
Bengaluru, Karnataka -560092, India
+91-938 404 0496

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