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 the basic level to advanced concepts with a 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. 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 the 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.
• 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 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 platforms.
• Machine learning algorithms: The statistical modeling and algorithms that make predictions based on data.

What is Data Science? What learning outcomes can you expect from your training at Besant Technologies?

Data Science is an interdisciplinary approach to deriving insights from structured and unstructured data. Various processes, systems, algorithms and scientific methods are used for the extraction of meaningful insights out of random data.
There are numerous reasons for you to take our Data Science Course in Chennai, but we recommend this course for the diverse career avenues it can open up for anyone. What learning outcomes can you expect from this course? Read on to find out.

The learning outcomes of Data Science Training in Chennai at Besant:

• Besant’s Data Science Course offers hands-on experience in extracting, processing and interpreting data.
• You will understand the general importance of data and its significance from a business standpoint.
• We have a systemically designed and extremely focused curriculum that prepares you for internships and full-time placements with reputed MNCs.
• Our modules are targeted at developing advanced data skillsets in students that are extremely necessary for solving various prevalent problems.
• You will be able to use appropriate tools and techniques for tackling real world data challenges.
• You will be thorough with both principles and practical applicability of Data Science as a field of knowledge.
• You will also be able to apply algorithms for machine learning

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.
This might discourage the beginners, who enter dreaming of becoming a Data Scientist. There are few institutes like Besant technologies that offer specialized programs, tailored to the educational requirements to pursue a career in data science. However, the skills aren’t mandatory for a beginner, as there are many MOOCs that will help one to learn those required skills. Also, many senior data scientists have mentioned that Data Scientist is a blanket job with varied types of data and skills. These skills need to be developed over time in order to match the available data science job. Though there is too much confusion, still the questions might vary from every person based on their individual needs and qualification. To get clarity on this, here is the answer to a set of few questions with the both technical and non-technical disciplines that arise with the candidate.
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?

A 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 a 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 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, is 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.

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 ease with excel. Hence, Excel can be a great armor in your arsenal for data science.

Introduction to Data Science

This first stops in the 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 that uses 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 scientists 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 analysts 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 an expert in multiple skills such as Mathematics, statistics, Big Data.
• Data scientists should have a deeper understanding of Mathematics, Statistics and should have good analytical skills to understand patterns in these data.
• We should be able to develop machine learning algorithms that are capable of doing predictive analysis and generate sample data based on given datasets.

Why is Data Science Important?

• The fast increasing Global data, the 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 with 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 that 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. A data engineer is exposed to data architecture that designs, builds, works with data. A data engineer is responsible to maintain the accuracy and availability of data.
• Data scientists, 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

Key Features of Data Science Course in Chennai

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

• 35 Hours to 45 Hours Course Duration
• Modules made more useful with practical assignments.
• Besant’s instructors are top IT experts having 10+ years of experience.
• We offer 24×7 support.
• We offer live online training.
• You can also learn from easily accessible recorded training sessions.
• You get full lab support. Need a software for learning? Come to us.
• Enrolment costs are reasonable.
• Class timings are flexible.
• Placement guidance guaranteed.
• Live demos as per the demand of the course.
• Most importantly, we offer a course completion certificate that’s globally valid!

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.
If you are a business, you sure have trust in your employees. They are efficient, no doubt. But by offering them proper data science training, we will make them capable of having better insights into your company’s data. Our curriculum is comprehensive and is suitable for all kinds of employees-both from IT and non-IT backgrounds. Interestingly, our training is customizable. And we facilitate customization because we acknowledge that your company is unique and its needs are also special. With customized training to your employees, we help them improve their data science capabilities. And guess what! The training is imparted by excellent instructors, having industry experience. Don’t worry about time and place compatibility, we also offer online data science training.

Individuals

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. Not like facilitated learning where the instructor takes a more passive role, with individual learning the trainer needs to consider and cater to the needs of individual participants. It doesn’t mean that students are at home they can be in a classroom and still work through things at their own pace.

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. Our branches are situated in places which have very good connectivity. We run our classes in small batch sizes which facilitates good interaction between trainer and students. Our trainers are attentive to students in case of doubts or questions in-classroom training.

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. Fast track classroom training: This is for students with time constraints. We give the best training at a fast pace while also covering the full syllabus as in normal classroom training.

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 hours each week to learn. what is needed to complete the course. This type of training is for those individuals who want to complete the course quickly by taking extra hours or extra classes.

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 easily but cannot travel to our branches due to time constraints.

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 professionals. Besant technologies are leading in 1-to-1 training, most of the learner prefers this for various benefits. Quicker learning as you get the undivided attention of the trainer. You don’t need to wait for your turn to clear your doubts. Quality of learning has an inverse relation with the number of students in a class.

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 hours each week to learn what is needed to complete the course. This type of training is for those individuals who want to complete the course quickly by taking extra hours or extra classes.

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.

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.
• The 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.
The growing demand for people who are capable of mining and interpreting data is proof enough to say that there are huge career opportunities in the field of data science. And there is hardly any company that doesn’t have anything to do with data. Almost every company, irrespective of the industry in which it operates, deals with data handling. And that is why they are on a constant search for people having knowledge of data science. Starting from start-ups to big players, almost every company has a requirement for experienced people. By taking a data science course at Besant Technologies, you will be able to fill up job positions such as analytics manager, business analyst, business intelligence (BI) analyst, data analyst, data scientist, director of analytics, research analyst, research scientist, senior data analyst, statistician and the like. And to make sure you get the most lucrative jobs in the market, we offer placement assistance too.

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 analysts start at 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 skills 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 the Backbone of the IT Industry?

Besant’s Data Science Certification Course in Chennai?

If you have the desire to join our course, you can join it regardless of your educational background.
You don’t need to have any specialized IT knowledge to join our Data Science Course in Chennai. However, there are many global certification exams that require you to have specific educational qualifications.
The most popular certifications for Data Science:

Data Science Council of America (DASCA), Principle Data Scientist (PDS).

There are four tracks and each track requires professional experience in the capacity of Data Scientist for at least 10 years. The tracks involve high-level topics in technology and analysis. Three tracks out of four require a degree in some master’s program. The certification is valid for a lifetime, but each track will cost more than a lot of other exams.

Certified Analytics Professional (CAP).

With this certification, you get valuable big data insights. To earn a CAP certification, it’s required that you clear the Associate test. INFORMS members receive a discount on the certification fee. The validity of this certification is 3 years.

Open Certified Data Scientist (Open CDS)

You can get this one via board review and application, rather than traditional coursework or exams. As you move through its different certification levels which are three in total, you gain experience which gets reflected in your certification. The certification’s validity is for a lifetime.

Data Science Council of America (DASCA), Senior Data Scientist (SDS).

There are five tracks to this certification. Each track demands different experience. The 1st track requires a minimum of 5 years of Data Science professional experience and a bachelor’s degree. Remaining tracks need you to have a master’s in addition to other certifications. Make sure you check the requirements of each program. This program is multifaceted in nature. The validity of DASCA’s certification is 5 years.

SAS Certified Big Data Professional

This program requires participants to have some programming experience in SAS or some other language. This certification covers nine courses that will cover basic statistics, data analysis, communication and programming and data tools. It is valid for a lifetime.

SAS Certified Advanced Analytics Professional

With this certification, you will know a lot about predictive modeling, data optimization etc. To earn the certification, you must have done nine courses besides clearing three exams. A minimum of 6 months of experience is required in SAS or some other language. If you have a minimum of 6 months worth experience in Data Science for businesses, then it’s highly recommended that you do this course. This certification has a lifetime validity.

SAS Certified Data Scientist

The SAS certifications you have read about above combine with this course to earn you an extra distinction. To be eligible for this program, you must have cleared the earlier courses. It teaches improvement and management of data as well as its manipulation and access. Additionally, you will master using tools for data visualization. The validity of the certificate is for a lifetime.

Google Data Machine Learning

Mastery in three tracks are required to obtain this certification. They all focus heavily on using Google Cloud for analyzing data. There are also modules that focus on machine learning and data engineering. The certification’s validity lasts for lifetime.

Google Certified Professional Data Engineer

This exam is for candidates that are familiar with GCP or Google’s cloud platform. It tests a candidate’s knowledge in this area. Your understanding of the models of machine learning starting from design through security and operation will be assessed. This certification does not expire.

Cloudera Certified Associate Data Analyst

The test assesses your knowledge of the enterprise software by Cloudera. This exam also tests your knowledge in programming, analyzing and administering on Cloudera. All these skills are essential for Data Scientists, making this certification useful for beginners. The certification has a validity of two years.

IBM Data Science Professional Certificate

It is for nine courses and covers areas like a capstone in applied Data Science, machine learning, SQL, Python and databases, data analysis and visualization etc.
Register for a subscription online to complete the program according to your convenience. Once you have completed the training, you can include the project portfolio in your resume. It’s however recommended that you complete the program in three months. The certification is valid for life.

Cloudera Certified Professional: CCP Data Engineer

This exam is only available for those who have cleared the Associate test. This is a high- level, performance-oriented certification which needs you to have deep knowledge of data engineering. Data Scientists that develop and design for production ecosystems benefit immensely from this course. The test lasts for 4 hours and requires you to resolve a variety of customer problems with the help of Cloudera Enterprise cluster. The certification expires in 3 years.

Dell EMC Data Science Track

The training to earn this certification takes place in 2 levels. You first receive the associate certification in Data Science basics and big data analysis. The second program covers platforms such as Hive, natural language processing, Hadoop and HBase, visualization methods and more.

Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics

Microsoft offers a wide range of specialties and IT skills, including this certification. The tracks on Data Science include data analysis, management, and its applications in businesses. The certification involves rigorous assessment. And it has a validity of 3 years.

Microsoft Certified Azure Data Scientist Associate

For this certification, you must have expertise in applying Data Science to run and implement machine learning with the help of Azure. You need to have experience with Data Science, Azure Data bricks and Azure Machine Learning. This certification is valid for a lifetime.

Oracle Business Intelligence

Many popular computer languages and database software known to the world such as Java and MySQL are owned by Oracle. Oracle’s BI tools are in use in many big companies, so becoming certified in this course can add value to your skills. Oracle offers several in-person and online tests to offer relevant certifications.

Institute for Operations Research and the Management Sciences Certified Analytics Professional (CAP).

This certification involves training in the development of analytical methods, model building, lifecycle management, and analytic problems. It also provides data acquisition and implementation. The exam doesn’t focus on one platform, it covers all aspects of Data Science. A degree in some bachelor’s program is required, along with a minimum of 3 years of analytics experience. INFORMS requires that candidates verify their skills by their employer.