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Data Analytics 2025 – Excel, SQL, Python + Power BI Training

Master the art of Data Analytics with Excel, SQL, Python, Power BI & Tableau. Learn data cleaning, visualization, dashboards, and real-world projects with industry-recognized certification.

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Course Overview

The Data Analytics Course at ICC Computer Centre, Dwarka Mor is designed for students and professionals who want to build strong skills in analyzing and interpreting data for decision-making. This program focuses on data collection, cleaning, visualization, and advanced analytics techniques using modern tools.

Students will learn MS Excel (Advanced), SQL, Python for Data Analysis, Power BI / Tableau, and basic statistics. The course combines theory and hands-on projects, making learners industry-ready.

At ICC Computer Centre, Dwarka Mor, our expert trainers provide practical exposure with real-life datasets, so students can confidently work on business, finance, marketing, and technology-related data problems.

Course Content

1. Introduction to Data Analytics

  • What is Data Analytics?

  • Importance of Data in Business

  • Types of Data (Structured, Unstructured, Semi-structured)

  • Data Analytics vs Data Science vs Business Intelligence

  • Applications of Data Analytics in Real Life

  • Key Skills Required for Data Analytics

  • Understanding Data Lifecycle

  • Challenges in Data Analytics

  • Data-driven Decision Making

  • Future Scope of Data Analytics

  • Data Cleaning in Excel

  • Sorting & Filtering Data

  • Conditional Formatting for Insights

  • Using Text Functions (TRIM, CONCATENATE, LEFT, RIGHT)

  • Logical Functions (IF, AND, OR)

  • Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)

  • Pivot Tables & Pivot Charts

  • What-If Analysis Tools

  • Creating Interactive Dashboards

  • Excel Shortcuts for Data Analysts

  • Power Query Introduction

  • Data Import from Multiple Sources

  • Data Transformation Techniques

  • Merging & Appending Queries

  • Removing Duplicates & Null Values

  • Column Splitting & Merging

  • Creating Custom Columns

  • Grouping & Aggregating Data

  • Loading Data into Excel Sheets

  • Automation with Power Query

  • Introduction to Databases

  • SQL Basics (DDL, DML, DQL)

  • SELECT Statement with WHERE, ORDER BY

  • Aggregate Functions (SUM, AVG, COUNT, MIN, MAX)

  • GROUP BY & HAVING Clauses

  • Joins (INNER, LEFT, RIGHT, FULL)

  • Subqueries & Nested Queries

  • Creating & Managing Tables

  • SQL Functions (String, Date, Numeric)

  • Writing Complex Queries for Analysis

  • Introduction to Power BI

  • Importing Data into Power BI

  • Data Cleaning in Power BI

  • Building Data Models

  • Creating Charts & Graphs

  • Using DAX Functions

  • Creating Measures & Calculated Columns

  • Designing Interactive Dashboards

  • Sharing Reports in Power BI Service

  • Power BI Best Practices

  • Introduction to Tableau Interface

  • Connecting to Different Data Sources

  • Dimensions & Measures Concept

  • Building Charts (Bar, Line, Pie, Scatter)

  • Calculated Fields in Tableau

  • Filters & Parameters

  • Dashboard Design in Tableau

  • Storytelling with Data

  • Publishing Dashboards Online

  • Tableau vs Power BI Comparison

  • Introduction to Python Programming

  • Python IDEs (Jupyter, VS Code)

  • Data Types & Variables

  • Loops & Conditional Statements

  • Functions & Modules

  • Working with Pandas Library

  • NumPy for Numerical Computations

  • Data Cleaning with Python

  • Data Visualization with Matplotlib & Seaborn

  • Python Projects for Data Analysis

  • Introduction to Statistics

  • Types of Data (Qualitative & Quantitative)

  • Measures of Central Tendency (Mean, Median, Mode)

  • Measures of Dispersion (Range, Variance, Standard Deviation)

  • Probability Basics

  • Normal Distribution & Skewness

  • Hypothesis Testing Basics

  • Correlation & Regression Analysis

  • Sampling Techniques

  • Statistical Tools in Excel/Python

  • What is Machine Learning?

  • Supervised vs Unsupervised Learning

  • Linear Regression for Prediction

  • Logistic Regression for Classification

  • Clustering (K-Means Basics)

  • Decision Trees Concept

  • Feature Selection & Importance

  • Model Training & Testing Basics

  • Evaluation Metrics (Accuracy, Precision, Recall)

  • Real-world Use Cases of ML in Data Analytics

  • Sales Data Analysis in Excel

  • HR Employee Data Analytics

  • E-commerce Customer Analysis

  • Financial Data Dashboard in Power BI

  • Healthcare Data Case Study

  • SQL-based Data Query Project

  • Marketing Campaign Data Analysis

  • Tableau Dashboard for Business Insights

  • Python Data Cleaning & Visualization Project

  • Final Capstone Project with Presentation

Why Choose ICC Computer Centre, Dwarka Mor?

  • Experienced & certified trainers

  • 100% practical training on latest Data Analytics 

  • Small batches for personal attention

  • Free study material & practice exercises

  • Flexible timings (Morning/Evening/Weekend)

  • Location advantage: Just 2 min walk from Dwarka Mor Metro Station

Who Can Join This Course?

  • Students from IT, commerce, and management backgrounds

  • Job seekers aiming for roles in data-driven industries

  • Professionals looking to upgrade to data analytics & business intelligence

  • Entrepreneurs who want to make better decisions using data

Course Duration & Mode of Learning

  • Duration: 6 months (can be customized)
  • Mode: Classroom training at Dwarka Mor + Online classes available
  • Flexible batch timings (morning/evening/weekend)

Career Opportunities After the Course

  • Data Analyst – analyzing datasets to find insights and trends

  • Business Analyst – bridging business needs with data-driven solutions

  • Financial/Data Consultant – handling finance, accounts & market data

  • Marketing Analyst – studying customer behavior & campaign performance

  • Operations Analyst – optimizing processes through data insights

  • SQL/Database Analyst – managing and querying large databases

  • Data Visualization Specialist – building dashboards & reports (Power BI/Tableau)

  • Junior Data Scientist – applying machine learning & predictive models

  • MIS Executive / Reporting Analyst – managing reports for business decisions

  • Freelance Data Analyst – providing data services to startups & businesses

FAQs (Frequently Asked Questions)

1. Do I need programming knowledge before joining?

  • 👉 No, basic computer knowledge is enough. Python and SQL will be taught from scratch.

  • 👉 You can work as a Data Analyst, Business Analyst, MIS Executive, SQL Analyst, Reporting Specialist, or Junior Data Scientist.

  • 👉 Data Analytics focuses on analyzing and interpreting existing data, while Data Science includes advanced techniques like Machine Learning & AI.

  • 👉 Yes, many commerce, management, and arts students successfully learn Data Analytics and get good jobs.

Enroll Now at ICC Computer Centre (Dwarka Mor, Uttam Nagar)

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