Beginner
π Certificate
Data Analytics
Master Data Analytics from basics to Intermediate with Python, SQL, Excel, and Power BI through practical real-world projects.
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4.5
(0+ reviews)
1500+ Learners
70+ Hours
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About this Course
This Data Analytics course is designed to take learners from beginner to job-ready level. Students will learn how to collect, clean, analyze, visualize, and interpret data using industry-relevant tools and techniques. The course covers Excel, SQL, Python, NumPy, Pandas, Matplotlib, Seaborn, and Power BI, along with practical exercises and real-world projects.
What you'll learn
Analyze and interpret real-world datasets
Clean and preprocess raw data
Perform data analysis using Excel and SQL
Use Python for data analysis
Work with NumPy and Pandas
Create meaningful data visualizations using Matplotlib and Seaborn
Build interactive dashboards using Power BI
Generate insights and make data-driven decisions
Work on real-world data analytics projects
Prepare data analytics reports and presentations
Apply data analytics techniques to business problems
Build a job-ready Data Analytics portfolio
Available Batches
Choose a batch that fits your schedule and budget
π UPCOMING
DATA ANALYTICS
βΉ15000.00
βΉ399.00
97% OFF
Mode
π Online
Language
Telugu
Timings
8PM TO 9PM
Start Date
10 Sep 2026
3 slots left out of 200
197 filled
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Course Curriculum
- What is Data Analytics?
- Analytics vs Data Science vs AI
- Types of Analytics
- Real-world Applications
- Data Analyst Roles & Responsibilities
- Tools Used in Data Analytics
- Excel Interface
- Workbook & Worksheet
- Rows, Columns & Cells
- Data Types
- Formatting
- Autofill
- Basic Functions
- Logical & Text Functions
- Lookup & Reference Functions
- Date & Time Functions
- Data Cleaning
- Pivot Tables & Charts
- Introduction to python
- Variables
- Data Types
- Input & Output
- Operators
- Conditional Statements
- Looping Statements
- Strings
- Lists,Tuple,sets,Dictionary
- Functions
- Error Handling
- File Handling
- Introduction to NumPy
- Arrays
- Array creation
- Indexing
- Slicing
- Reshape
- Mathematical Operations
- Statistical Functions
- Random Module
- Series
- Data Frame
- Reading CSV & Excel Files
- Writing Files
- loc & iloc
- Filtering & Sorting
- Missing Values
- Duplicate Values
- Replace Values
- GroupBy
- Aggregate
- Merge
- Join
- Concatenate
- Mysql Introduction
- CRUD Application
- Where Clause
- Constrains
- Order By and Group By Function
- Aggregate Functions
- Having Clause
- Joins
- Matplotlib
- Seaborn
- Power BI Interface
- Import Data
- Data Cleaning
- Relationships
- DAX Basics
- Charts
- Slicers
- Interactive Dashboard
- Excel Sales Dashboard
- Student Performance Analysis
- HR Analytics Dashboard
- E-commerce Sales Analysis
- IPL Data Analysis
- Customer Churn Analysis
- Financial Report Dashboard
- Power BI Executive Dashboard
Facilities Provided
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Live Classes
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Recorded Classes
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Career Guidance
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Study Materials
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Certificate
Quick Info
- LevelBeginner
- Duration70+ hours
- Learners1500+
- Ratingβ 4.5
- Certificateβ Yes
- Internshipβ No
- Placementβ No