Pearson VUE / PSI Exam center: +917339174555 Hire From Us: +917339173555

Data Science Masters Program

data science

data scienceData Science Master program at Besant Technologies provided by experienced Data Scientists. Our Data Science Course module is completely designed about how to analyze Data Science with R programming and Data Science with Python programming. Data Science course certification will help you be a professional Data Scientist. If you really Interested to Learn Data Science, then Besant Technologies is the Right place.

About the Program

This course prepares you for the role of Data Scientist by making you an expert in Statistics, Data Science, Big Data, R Programming, Python. There is an increasing demand for skilled data scientists across all industries, making this data science certification course well-suited for participants at all levels of experience.

Learning Path Curriculum 

The term “data scientist” is an industry recognized designation for a professional with deep analytics experience, industry knowledge, and skills. Our Data Science Masters Training will give hands-on experience to you to meet the demands of industry needs.

Statistics Essentials for Analytics

All the topics in the following section will explain the basis of what it is, which scenario you want to use, What math behind it, How to implement with an analytic tool, what inferences you are getting from the final result.

  • Understanding the Data
  • Probability and its Uses
  • Statistical Inference
  • Data Clustering
  • Testing the Data
  • Regression Modelling

Module 1: Introduction to R (Duration: 2Hrs)

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

 Module 2: R Basics (Duration: 5Hrs)

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

Module 3: R Packages (Duration: 3Hrs)

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

 Module 4: Machine Learning using R (Duration: 10Hrs)

  • Linear Regression
  • Logistic Regression
  • K-Means
  • K-Means++
  • Hierarchical Clustering – Agglomerative
  • CART
  • c5.0
  • Random forest
  • Naïve Bayes

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
    • 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

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

Module 1: Tableau Course Material (Duration: 5Hrs)

  • Start Page
  • Show Me
  • Connecting to Excel Files
  • Connecting to Text Files
  • Connect to Microsoft SQL Server
  • Connecting to Microsoft Analysis Services
  • Creating and Removing Hierarchies
  • Bins
  • Joining Tables
  • Data Blending

 Module 2: Learn Tableau Basic Reports (Duration: 5Hrs)

  • Parameters
  • Grouping Example 1
  • Grouping Example 2
  • Edit Groups
  • Set
  • Combined Sets
  • Creating a First Report
  • Data Labels
  • Create Folders
  • Sorting Data
  • Add Totals, Sub Totals and Grand Totals to Report

Module 3: Learn Tableau Charts (Duration: 4Hrs)

  • Area Chart
  • Bar Chart
  • Box Plot
  • Bubble Chart
  • Bump Chart
  • Bullet Graph
  • Circle Views
  • Dual Combination Chart
  • Dual Lines Chart
  • Funnel Chart
  • Traditional Funnel Charts
  • Gantt Chart
  • Grouped Bar or Side by Side Bars Chart
  • Heatmap
  • Highlight Table
  • Histogram
  • Cumulative Histogram
  • Line Chart
  • Lollipop Chart
  • Pareto Chart
  • Pie Chart
  • Scatter Plot
  • Stacked Bar Chart
  • Text Label
  • Tree Map
  • Word Cloud
  • Waterfall Chart

Module 4: Learn Tableau Advanced Reports (Duration: 6Hrs)

  • Dual Axis Reports
  • Blended Axis
  • Individual Axis
  • Add Reference Lines
  • Reference Bands
  • Reference Distributions
  • Basic Maps
  • Symbol Map
  • Use Google Maps
  • Mapbox Maps as a Background Map
  • WMS Server Map as a Background Map

Module 5: Learn Tableau Calculations & Filters (Duration: 6Hrs)

  • Calculated Fields
  • Basic Approach to Calculate Rank
  • Advanced Approach to Calculate Rank
  • Calculating Running Total
  • Filters Introduction
  • Quick Filters
  • Filters on Dimensions
  • Conditional Filters
  • Top and Bottom Filters
  • Filters on Measures
  • Context Filters
  • Slicing Fliters
  • Data Source Filters
  • Extract Filters

Module 6: Learn Tableau Dashboards (Duration :4Hrs)

  • Create a Dashboard
  • Format Dashboard Layout
  • Create a Device Preview of a Dashboard
  • Create Filters on Dashboard
  • Dashboard Objects
  • Create a Story

Module 7: SERVER (Duration: 5Hrs)

  • Tableau online.
  • Overview of Tableau Server.
  • Publishing Tableau objects and scheduling/subscription.

 

Data Science Jobs Out Look

Data Science Careers Outlook. A shortage of data scientists means the employment outlook for professionals with the required knowledge and technical skills is extremely positive. It predicts that between now and 2020, demand for data scientists and data engineers will grow by 39 percent.

data science

Frequently Asked Questions

Why data cleaning plays a vital role in analysis?

Cleaning data from multiple sources to transform it into a format that data analysts or data scientists can work with is a cumbersome process because – as the number of data sources increases, the time take to clean the data increases exponentially due to the number of sources and the volume of data generated in these sources. It might take up to 80% of the time for just cleaning data making it a critical part of analysis task.

What is logistic regression? Or State an example when you have used logistic regression recently?

Logistic Regression often referred as logit model is a technique to predict the binary outcome from a linear combination of predictor variables. For example, if you want to predict whether a particular political leader will win the election or not. In this case, the outcome of prediction is binary i.e. 0 or 1 (Win/Lose). The predictor variables here would be the amount of money spent for election campaigning of a particular candidate, the amount of time spent in campaigning, etc.

What are Recommender Systems?

A subclass of information filtering systems that are meant to predict the preferences or ratings that a user would give to a product. Recommender systems are widely used in movies, news, research articles, products, social tags, music, etc.

What is Linear Regression?

Linear regression is a statistical technique where the score of a variable Y is predicted from the score of a second variable X. X is referred to as the predictor variable and Y as the criterion variable.

What is Interpolation and Extrapolation?

Estimating a value from 2 known values from a list of values is Interpolation. Extrapolation is approximating a value by extending a known set of values or facts.

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
+91-996 250 4283

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
+91-887 038 4333

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,
Bangalore-560041
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,
Bangalore-560043
karnataka, India
Land Mark: Opposite to kalayan nagar Axis Bank
+91-979 144 0888

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

Quick Enquiry