You’re One Skill Away From Never Worrying About Your Career Again.

Your colleagues are quietly mastered data analytics. Now they’re untouchable. You don’t need another year watching ‘data people’ get the raises, recognition, and respect?

Enroll in our Data Analyst Course in Delhi to receive practical exposure to real-world projects and participate in expert-led sessions. The Data Analytics Course in Delhi teaches Power BI, data storytelling capabilities.

1. Introduction to Data Analytics

What is Analytics?

Overview of Data Analytics

Importance and Growth of Analytics

Applications of Analytics in Business

Common Terminologies in Analytics

Methodologies in Analytics

Popular Analytics Tools & Their Usage

Business Use Cases of Analytics

2. Python for Data Analytics (Core Concepts)

Introduction and History of Python

Installation: Anaconda, Python, and IDEs (Jupyter, Pycharm, etc.)

Jupyter Notebook Setup and Customization

Libraries Overview: NumPy, Pandas, Matplotlib, etc.

Working with Packages & Namespaces

Data Types and Objects (String, List, Tuple, Dictionary)

Variables, Value Labels, Date/Time

Operators, Conditional Statements, Loops

Functions, Modules, and Exception Handling

File Reading & Writing

Debugging and Profiling Python Code

3. Numerical Computing with NumPy

Introduction to NumPy

Creating and Manipulating Arrays

Universal Functions and Broadcasting

Indexing, Slicing, and Iteration

Array Shape Manipulation

Views and Copies

Advanced Indexing Techniques

4. Data Manipulation with Pandas

Introduction to Pandas

Series and DataFrame Creation

Data Selection, Slicing, Boolean Indexing

Data Cleaning: Dropping, Selecting, Handling Missing Data

Data Transformation: Sorting, Ranking, Binning

GroupBy and Aggregation

Working with Strings in Pandas

Merging, Joining, Concatenation

Pivot Tables and Reshaping

Duplicate Handling and Custom Functions

5. Data Visualization with Python

Using Matplotlib:

Anatomy of a Plot

Pyplot vs Pylab

Creating and Customizing Plots

Subplots, Legends, Titles, Axes

Saving & Exporting Plots

Using Seaborn:

Introduction to Seaborn for Statistical Graphics

Distribution, Categorical, Relational, Regression Plots

Advanced Plot Customizations

Color Palettes and Themes

6. Relational Databases & SQL with MySQL

What is MySQL and RDBMS?

Creating, Modifying, and Deleting Databases & Tables

Data Types & Constraints (PRIMARY KEY, FOREIGN KEY, etc.)

CRUD Operations (SELECT, INSERT, UPDATE, DELETE)

Filtering: WHERE, IN, BETWEEN, LIKE

Functions: COUNT, SUM, AVG, MIN, MAX

Joins: INNER, LEFT, RIGHT, FULL

Indexes, Aliases, and Subqueries

Working with Limits and Sorting

7. Data Visualization with Tableau

Introduction to Tableau and Installation

Tableau Architecture and Versions

Interface Navigation and File Types

Connecting and Preparing Data Sources

Creating Visualizations using “Show Me”

Sorting, Filtering, and Aggregations

Calculated Fields and Cross Tabs

Designing Dashboards and Stories

Exporting and Sharing Visualizations

8. Advanced Excel for Data Analysis

Introduction to Excel Interface and Options

Splitting Data, Flash Fill, Auto Fill

Data Formatting & Number Formats

Working with Tables, Comments, Freeze Panes

Functions: Text, Date/Time, Logical, Lookup, Statistical

Named Ranges, Data Validation, Conditional Formatting

Charts: Basic to Advanced

Pivot Tables and Pivot Charts

Dashboard Design in Excel

9. Power BI for Business Intelligence

Introduction to Power BI

Architecture and Components

Power BI Desktop vs Power BI Online

Connecting Power BI to Excel, SQL, CSV, Web, etc.

Data Transformation Using Power Query

Query Editor Overview

Column and Text Transformations

Number, Date & Time Calculations

M Functions and Data Types

Data Modeling

Introduction to DAX

Measures, Calculated Columns & Tables

Row Context vs Set Context

Time Intelligence Functions

Reports and Visualizations

Using Report Editor

Filters, Slicers, Highlights

Charts: Bar, Line, Scatter, Tree Map, Funnel, KPI, etc.

Drilldown and Interactivity

Custom Visuals and Downloads

Dashboard Designing

Creating and Sharing Dashboards

Pinning Reports & Tiles

Adding Images, Text, and Videos

Focus Mode, Alerts, and Mobile View

Tips for Effective Dashboard Design

Dataset Refresh and Publishing

Local and Cloud Refresh Options

Configuring Scheduled Refresh

Privacy Settings and Optimization

10. ChatGPT for Data Analytics

Why Learn Data Analytics with Power BI

The #1 Tool Data-Driven Companies Demand

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Your mastery of data visualization, analytics and business intelligence fundamentals will empower you to develop influential reports and dashboards. 📈

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Practical experience comes from working on actual projects that involve data transformation as well as reporting tasks and automation work to achieve direct knowledge application. 🖥️

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The globally recognized Power BI certification will both demonstrate your expertise and open better career opportunities. 📊

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Study advanced Power BI subjects, which include DAX calculations, Power Query, and AI-driven analytics, to develop better data-driven decision-making skills. 🧠