Master in Data Analytics by Vskills
Course Highlights
- Government Certification
- Certification valid for life
- Lifelong e-learning access
- Learning Hours: 40+ hrs
- Life Time Job Support
- Job Profile Tagging
Skills you will learn!
Curriculum
10 Topics
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
14 Topics
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
10 Topics
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
16 Topics
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
13 Topics
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
Master in Data Analytics
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