Table of Contents
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
Certification -
https://www.vskills.in/certification/data-analytics-certification-course