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