Data Analytics

Hybrid

Data Analytics

Comprehensive course covering data wrangling, visualization, dashboards, and databases — designed for future-ready analytics professionals.

Data Analytics is the process of examining data to uncover patterns, trends, and insights that support better decision-making and business performance. Gain real-world project experience, in-demand technical skills, and mentorship to accelerate your career in data analytics.

Key Skills & Tools Covered

Python

Python fundamentals through control statements, functions and data structures.

Excel for Analytics

Formulae, pivot tables, charts and dashboarding.

MySQL

Filtering, joins & unions, sub-queries and window functions.

Data Visualization

Numpy, Pandas, Matplotlib and Seaborn for exploratory data analysis.

Course Curriculum

Intro to Data Analytics
Why Analytics?, What is Analytics?
Python Fundamentals
Python, Control Statements, Data Structures, Functions
Data Analytics in Excel
Excel Formulae, Pivot Tables & Charts, Dashboarding
Project: Sales Data Dashboard
MySQL for Data Analytics
Filtering, Joins & Unions, Sub Queries, Window Functions
Python for Data Analytics
Numpy, Pandas, Matplotlib, Seaborn, EDA
Project: ECommerce Sales Analysis

Requirements

Duration: 4 Months (5 Days a week)

  • Computer Fundamentals
  • Operating System
  • Any Programming language

Frequently Asked Questions

Data analytics (DA) involves analyzing data sets to uncover trends and draw conclusions based on the information they provide.

It enables businesses to convert raw data into actionable insights, supporting informed decision-making and driving success.

Professionals need expertise in analyzing data and translating it into meaningful insights for business growth.

Businesses across industries rely on data analytics to inform strategies and improve outcomes.