Master in Data Analytics

How It Works

  1. 1. Select Certification & Register
  2. 2. Receive Online e-Learning Access (LMS)
  3. 3. Take exam online anywhere, anytime
  4. 4. Get certified & Increase Employability

Test Details

  • Duration: 60 minutes
  • No. of questions: 50
  • Maximum marks: 50, Passing marks: 25 (50%).
  • There is NO negative marking in this module.
  • Online exam.

Benefits of Certification

$61.00 /-

Data analytics is the organizational process involving data collection, processing and analysis for both operational and strategic needs of the company and make data driven decisions. Dynamic business environment, pandemic and VUCA has enabled data analytics to emerge as the crucial part of decision making in all organizations for catering to ever changing needs of customers.

Why should I take Vskills Master in Data Analytics certification?

Vskills Master in Data Analytics certification helps candidates gain an all-round knowledge and develop skills for excelling in the data analytics. The certification covers the basics of data analytics and focuses on essential software tools used extensively for data analytics in companies of all sizes.

The certification covers

  • Microsoft Excel
  • R programming language
  • Python programming language.

Note: Please note that the course comes with online e-learning (videos) only. No hard copy will be provided.

Who will benefit from taking Vskills Master in Data Analytics certification?

The Vskills Master in Data Analytics certification is suitable for

  • Business managers, senior executives, executives
  • CEOs and CIOs
  • Data analysts
  • Software developers and programmers
  • Team Leads
  • Students who want to make a career in analytics

Corporate training is also available, click here to know more.

Data Analytics certification Table of Contents

Data Analytics certification Practice Questions

Data Analytics certification Tutorials

Data Analytics certification Sample Questions

Data Analytics certification Interview Questions

Companies that hire Vskills Data Analytics certification Certified Professionals

Companies engaged in analytics or business services or outsourcing have a huge demand for data analytics professionals. MNCs, software development companies and businesses have constant requirement of certified professionals which include Nokia, Ericsson, Capgemini, Airtel, Apple, Cisco, Accenture, IBM, Tech Mahindra, TCS, etc.

Data Analytics certification Jobs

Checkout the various job openings for Data Analytics certification, click here..

Data Analytics certification Internships

Vskills runs its flagship internship program where bright interns work with academic council, click to know more details..

Apply for Data Analytics Certification

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Analytics Basics

  • Introduction to Data Analytics
  • Descriptive Statistics Fundamentals
  • Inferential Statistics Fundamentals
  • Confidence Intervals
  • Hypothesis Testing
  • The Fundamentals of Regression Analysis
  • Subtleties of Regression Analysis
  • Assumptions for Linear Regression Analysis
  • Dealing with Categorical Data
  • Practical Example: Regression Analysis

Microsoft Excel and Data Analytics

  • Introduction to Microsoft Excel
  • Workbooks, Worksheets, Page Setup
  • Moving Data
  • Formulas and Functions
  • Charts
  • Sorting and Filtering
  • Outlining and Subtotaling
  • PivotTables
  • Advanced Excel Functions
  • Connecting to External Data
  • Tables
  • PivotTables
  • Data Analysis
  • Graphs and Charts

R Programming Language and Data Analytics

  • Introduction to R Programming
  • The Building Blocks of R Language
  • Vectors and Vector Operations
  • Matrices
  • Data Frames
  • Manipulating Data
  • Visualizing Data
  • Exploratory Data Analysis
  • Hypothesis Testing
  • Linear Regression Analysis

Python Programming Language and Data Analytics

  • Introduction to Python
  • Python Fundamentals
  • Milestone Project 1
  • Object-Oriented Programming with Python
  • Python Errors
  • Python Files
  • Python and Databases
  • Type Hinting in Python
  • Advanced Built-in Functions
  • Advanced Python Development
  • Python Web Scraping
  • Managing Project Dependencies
  • Decorators in Python
  • Advanced Object-Oriented Programming
  • Algorithms and Data Structures
  • Python Libraries

Data Science using Python

  • Introduction to Data Science
  • Statistical Techniques
  • Python for Data Science
  • Exploratory Data Analysis (EDA)
  • Machine Learning
  • Linear Regression
  • Logistic Regression
  • Unsupervised Learning - K-Means Clustering
  • Naive Bayes Probability Model
  • Classification using decision trees
  • Ensemble Methods – Random Forest
  • Advanced Classification Techniques – Support Vector Machine
  • Dimensionality Reduction Using PCA

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