*#1 Most Popular Online Course & Internship in Data Science* You can enroll today & get certified from EasyShiksha & HawksCode.
Unlock the power of data and artificial intelligence to drive smarter business decisions with the Data Analyst Masterclass: Learn AI Business Insights. This comprehensive course is designed for aspiring data analysts, business professionals, and anyone eager to gain practical data skills that are in high demand across industries.
In this hands-on masterclass, you’ll dive into the essential tools of modern data analysis Excel, SQL, Python, and Microsoft Power BI and learn how to transform raw data into powerful insights using AI-driven techniques. Whether you're starting from scratch or looking to sharpen your skills, this course guides you step by step through the analytics journey, from data cleaning and visualization to advanced business intelligence and reporting.
You'll learn how to:
- Analyze and visualize data using Excel and pivot tables
- Write efficient SQL queries to explore and extract insights from databases
- Use Python and Pandas to clean, process, and model business data
- Create interactive dashboards and reports in Microsoft Power BI
- Apply AI concepts to uncover trends, make predictions, and automate insights
- Build compelling visual narratives to effectively communicate findings
Real-world projects and case studies will help you apply your knowledge in practical business scenarios, making you job-ready and confident in handling real data challenges. Each module is crafted to build your skills progressively, ensuring a smooth learning curve even if you're new to programming or analytics.
By the end of this course, you'll have a strong foundation in data analysis, visualization, and AI applications in business—opening doors to roles like data analyst, business analyst, or AI-savvy manager.
Enroll now and start your journey to becoming a data-driven decision-maker in the AI-powered business world!
Introduction
Start on windows, macOS, and Linux
How to ask great questions
FAQs
What is Business Analytics
Importance of data analytics in decision-making
Real-world applications of Business Analytics
Overview of tools: Excel, SQL, Power BI, Python (Pandas)
Worksheet basics
Data structuring and formulas
Data formats
Data handling basics โ cut copy and paste
Save and print in excel
Excel Ranges
Mastering Excel with ChatGPT: AI-Powered Productivity and Automation
Basic formula operations
Mathematical functions level1
Mathematical functions level2
Text functions level1
Text functions level2
Logical functions (AND, OR, XOR)
Date time functions
Lookup function - VLOOKUP
Lookup function - HLOOKUP
HLOOKUP + Match formula
Match + Index formula Combination
Lookup function - XLOOKUP
Handling #NA and Approximates match in XLOOKUP
Wildcard matching in XLOOKUP
Split Text into columns
Flash Fill
Remove Duplicates
Data Validation
Get- import Data from Text
Get - import Data from CSV
Formatting Font
Formatting Alignment
Formatting Number
Formatting Date
Formatting tables
Excel Formatting steps using ChatGPT AI
Creating PivotTables for summarization
Value field settings
Number format
Pivot Table Design
Excel Charts โ Categories
Elements of a chart
Creating dynamic charts
Column or Bar charts
Formatting charts
Line charts
Area charts
Pie and Doughnut charts
Format Area Plot or XY chart
Scatter or bubble charts
What is PostgreSQL
Why Choose PostgreSQL? Futures and Benefits
Understanding the PostgreSQL Ecosystem
Installation and setup PostgreSQL (Windows)
Installation steps for macOS and Linux
Exploring pgAdmin and Command-Line Tools
Relational Database Concepts
Data Types and Schemas
Creating and Managing Databases
CREATE a table using pgAdmin
ALTER a table (modification)
DELETE a table
CREATE a table using SQL script
Create a table script for product sales using Gen AI
CREATE operation (Insert Data)
READ operation (Select Data)
UPDATE operation (Modify Data)
DELETE operation (Remove Data)
SQL statement basics
SELECT statement
Eliminating Duplicates with SELECT DISTINCT
DASHBOARDS - COUNT() Column AS statement
Write SELECT statement using Gen AI
SELECT and WHERE Clause
SELECT and WHERE: Filtering Data in SQL
Sorting Data with the ORDER BY Clause
Efficient Data Selection with the LIMIT Clause
Using LIMIT with an Offset
Using SUM() in SQL: Calculating Total Values
Calculating Averages with the AVG() Function in SQL
Finding the Minimum Value with the MIN() Function in SQL
Extracting the Maximum Value with the MAX() Function in SQL
Concatenating Values with STRING_AGG() in SQL
Analyzing Data Variance with the VARIANCE() Function in SQL
Calculating Standard Deviation with the STDDEV() Function in SQL
Counting Unique Values with COUNT(DISTINCT) in SQL
Grouping Data Efficiently with the GROUP BY Clause
Advanced Data Filtering Leveraging the HAVING Clause in SQL
Introduction to JOINS in SQL: Combining Data Across Tables
Writing INNER JOIN: Retrieving Data from Multiple Tables
Using LEFT JOIN: Retrieving All Records from Left Table
Right JOIN in SQL: Retrieving Data from the Right Table
Using FULL OUTER JOIN: Combining Results from Both Tables
Self JOIN in SQL: Joining a Table to Itself
Cross Join in SQL: Producing Cartesian Products
Enforcing Non-Null Values with the NOT NULL Constraint
Ensuring Unique Data with the UNIQUE Constraint
Uniquely Identifying Records with the PRIMARY KEY Constraint
Maintaining Referential Integrity with the FOREIGN KEY Constraint
Validating Data with the CHECK Constraint
Providing Default Values with the DEFAULT Constraint
Optimizing Queries with the INDEX Constraint
Mastering Database Backups: Ensuring Data Integrity
Restoring Databases: Ensuring Business Continuity
Database
Design the Schema - Company Management System
Insert Sample Data
Querying the Data
Optimizing the Database โ Indexing
Optimizing the Database โ Query Analysis
Optimizing the Database โ Vacuum and Analyze
Optimizing the Database โ Partitioning (for Large Data)
Backup and Restore โ Backup the Database
Backup and Restore โ Restore the Database
Login Group / Roles setup
Business Intelligence and Power BI
Overview of Power BI
Importance of Data Visualization
Components of Power BI
Mastering Power BI with ChatGPT - AI-Powered Insights & Automation
Downloading and Installing Power BI Desktop
Overview of Power BI Desktop Interface
Basic Settings and Navigation
Types of Data Sources (Excel, SQL Server, Web Data, etc.)
Connecting Power BI to Excel and CSV Files
Transforming Data
Introduction to Power Query Editor
Cleaning and Shaping Data
Combining and Merge (Join) in Power Query
Managing Relationships Between Data Tables
Overview of Data Modelling
Creating Relationships Between Tables
Optimizing Data Models with Relationships
Best Practices for Data Modelling
Basics of Data Analysis Expressions (DAX)
Create Calculated Columns using DAX formula
Create Measures using DAX formula
Use DAX Calculations in Visualizations
DAX Functions for Aggregations
Filtering and Conditional Calculations
DAX Formula to get a Total Sales using Gen AI
Types of Visualizations in Power BI
Creating Bar Charts
Creating Pie Charts
Creating Tables and Formatting
Best Practices for Dashboard Design
Loading Dashboard sample data
Total Revenue Card for Dashboard
Revenue by Region Bar Chart for Dashboard
Units Sold Over Time Line Chart for Dashboard
Product Distribution Pie Chart for Dashboard
Adding Slicers for Interactive Dashboard
Save and Publish the Dashboard
What is ChatGPT AI
Set up an account with ChatGPT
How to use ChatGPT GEN AI
ChatGPT for your day-to-day tasks
Python App Installation step by step
Python Code Editor IDE (PyCharm) Installation
Getting started First Python project
First Welcome โHello Worldโ program
Use ChatGPT to write variables
Use ChatGPT to write datatypes
Use ChatGPT to write Type casting
Use ChatGPT to write strings
Use ChatGPT to write operators
Use ChatGPT to write if else statements
Use ChatGPT to write while loop
Use ChatGPT to write for loop
Use ChatGPT to write a nested loop
Exercise and Solution for it (Pyramid pattern)
Use ChatGPT to write Guessing game
Use ChatGPT to write a Car racing game
Use ChatGPT to write functions
Use ChatGPT to explain Object Oriented Programming
Use ChatGPT to write class object programs
Use ChatGPT to write inheritance
Use ChatGPT to write polymorphism
Use ChatGPT to write abstract classes
Use ChatGPT to write encapsulation
What is Pandas and why is it essential for data analysis?
Create Project, Installing and Importing Pandas
What is Pandas Data Frame
Creating DataFrames Manually in Python Pandas
Mastering Data Import: Loading CSV Files with Pandas
Seamless Data Import: Loading Excel Files with Pandas
Working with JSON: Loading and Reading Data Using Pandas
Quick Data Preview: Retrieving the First 5 Rows in Pandas
Exploring Data: Retrieving the Last 5 Rows in Pandas
Identifying Data types and non-null values
Data Insights at a Glance: Generating Summary Statistics in Pandas
Navigating DataFrames: Retrieving Rows and Columns in Pandas
Understanding Your Data: Identifying Column Names in Pandas
Data Cleaning in Pandas: Preparing Your Data for Analysis
Renaming Columns on your report views
Changing Data Types on Loading DataFrame
Removing Duplicates from DataFrame data
Applying Lambda Function
Basic Aggregation Functions
Data Aggregation Made Easy: Mastering the Group By Function
Combining Data Efficiently: Merging Two Data Frames in Pandas
Bringing Data to Life: Data Visualization Charts with Pandas & Matplotlib
The following course is fully online, and hence there is no need for any physical classroom session. The lectures and assignments can be accessed anytime and anywhere through a smart web or mobile device.
Anyone can choose a preferred course and start immediately without any delay.
As this is a purely online course program, you can choose to learn at any time of the day and for as much time as you want. Though we follow a well-established structure and schedule, we recommend a routine for you as well. But it finally depends on you, as you have to learn.
If you have completed the course, you would be able to have lifetime access to it for future reference too.
Yes, you can access and download the content of the course for the duration. And even have lifetime access to it for any further reference.
All the software/tools that you need for the course would be shared with you during the training as and when you need them.
No, only a soft copy of the certificate will be awarded, which can be downloaded and printed, if required.
You can try to make the payment through a different card or account (maybe a friend or family). If the problem persists, email us at info@easyshiksha.com
Due to some technical faults, this can happen. In such a case the amount deducted will be transferred to the bank account in the next 7-10 working days. Normally the bank takes this much time to credit the amount back into your account.
At times, there may be a slight delay in your payment reflecting on your EasyShiksha dashboard. However, if the problem is taking longer than 30 minutes, please let us know by writing to us at info@easyshiksha.com from your registered email id, and attach the screenshot of the payment receipt or transaction history. Soon after verification from the backend, we will update the payment status.
If you have enrolled, and are facing any technical problem then you can request a refund. But once the certificate has been generated, we shall not refund that.
Yes! You surely can. To begin this, just click the course of your interest and fill in the details to enrol. You are ready to learn, once the payment is made. For the same, you earn a certificate too.
Please contact us at: info@easyshiksha.com
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