Data Analytics
Data analytics is a powerful method for analyzing data to uncover hidden patterns, trends, and insights that help business leaders make well-informed decisions.
Course Duration: 1 Year
Data Analyst Course Syllabus: Key Topics
1) Business Analytics Using Excel
Data cleaning & preparation
Descriptive statistics
Data visualization (charts, dashboards)
Pivot tables & Goal Seek
Intro to Power BI
2) SQL Fundamentals
Basic SQL commands (SELECT, INSERT, UPDATE, DELETE)
Database management concepts
Joins, subqueries & advanced SQL functions
3) Python for Data Analytics
Data manipulation with Pandas
Visualization with Matplotlib & Seaborn
Intro to machine learning (Scikit-learn)
Automating data pipelines
4) R Programming
Data manipulation & statistical modeling
Data visualization (ggplot2)
Machine learning basics
5) Tableau for Data Visualization
Building interactive dashboards
Data blending & customization
Sharing reports & visual stories
6) Power BI
Creating interactive reports & dashboards
Data modeling & analysis
Collaborative reporting
7) Statistics & Probability
Descriptive statistics (mean, median, mode)
Probability distributions
Hypothesis testing & regression analysis
8) Data Structures & Algorithms
Arrays, lists, trees
Sorting & searching algorithms
Hash tables & binary trees
9) Capstone Project
Applying skills to real-world data problems
Data collection, analysis & visualization

