AI-Powered Data Analytics Course in Telugu: Learn In-Demand Skills and Become Job-Ready

Launch your successful career with our AI Data Analytics Course in Telugu. Go from beginner to expert, mastering high-demand tools like Power BI, Tableau, Python, SQL, and Excel for real-time analysis and smart decision-making.

AI Data Analytics Online Course In Telugu | Frontlines Edutech | FLM

100% Live

Training in Telugu

All Classes

Recordings

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11 Free

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Real Time

Projects

What is AI Data Analytics

Data Analytics is the process of collecting, cleaning, analyzing and visualizing data to uncover meaningful insights and support better business decisions. Students learn essential analytics tools through structured modules, hands-on exercises and real-world projects covering Excel, SQL, Power BI and Python.

Excel & Data Analysis

Learn Excel fundamentals and advanced analytics techniques including formulas, functions, Pivot Tables, charts, data cleaning, lookup functions and dashboard creation for business reporting.

SQL & Databases

Understand how to store, retrieve and analyze data using SQL. Learn queries, joins, subqueries, aggregate functions, CTEs and practical database analysis using real-world datasets.

Power BI & Visualization

Learn to transform raw data into interactive dashboards and reports using Power BI. Work with Power Query, data modelling, DAX, KPIs, charts and business intelligence dashboards.

Python for Data Analytics

Use Python to analyze and process datasets with tools like Pandas, NumPy and Matplotlib. Learn data cleaning, exploratory data analysis, automation and insight generation through practical projects.

Why Learn Data Analytics in 2026?

Data Analytics is one of the fastest-growing career domains on the planet. Here is why this is your golden ticket:

Massive Industry Demand

Companies across all industries are aggressively hiring Data Analysts to optimize operations and support CEO decision-making.

Easy Learning Path

Start with the fundamentals and gradually build practical skills using Excel, SQL, Power BI, Python, and AI-powered analytics tools.

High Salary Opportunities

Because your insights directly increase a company's revenue, roles like BI Developer and Analytics Consultant command premium paychecks.

Global Remote Opportunities

Data lives in the cloud. Analysts can work remotely, take on lucrative freelance contracts, and work with global clients from anywhere in the world.

Tools & Technologies You Will Learn

We take you from absolute beginner to building production-ready dashboards using the exact software dominating the tech industry.

Advanced Excel

The undeniable foundation of all data. Learn complex formulas, pivot tables, and dashboard basics.

SQL (Structured Query Language)

The most important skill for analytics professionals. Learn to write powerful queries to retrieve, filter, and execute complex JOIN operations from massive corporate databases.

Power BI

Master the undisputed king of business intelligence. Learn data modeling, DAX formulas, and how to build interactive, dynamic dashboards that wow executives.

Tableau

Master the art of visual storytelling. Learn how to design intuitive dashboards that allow businesses to explore data visually and spot trends instantly.

Python for Analytics

Don't let Python scare you. We teach you exactly how to use libraries like Pandas and NumPy for data cleaning and automation, making you vastly more valuable than a basic Excel user.

AI-Assisted Analytics

Learn to integrate ChatGPT, Power BI AI features, and predictive analytics systems directly into your workflow to write formulas and automate your reporting.

AI Data Analytics Course Syllabus

  • Data & Types of Data
  • What, Why & How of Data Analytics
  • Analytical Thinking & Problem Solving
  • Components of Data Analytics
  • Descriptive & Predictive Analytics
  • Popular Data Analysis Tools
  • Introduction & Evolution of AI
  • AI in the Data-Driven World
  • AI vs ML vs Deep Learning vs GenAI
  • Machine Learning Fundamentals
  • Basics of NLP
  • Deep Learning Fundamentals
  • Real-World & Raw Data
  • Data Collection & Data Sources
  • AI Tools for Data Collection
  • ETL & Data Processing
  • Batch vs Real-Time Processing
  • Missing Data, Outliers & Duplicates
  • Data Transformation, Formatting & Aggregation
  • Copilot for Data Cleansing & Transformation
  • Introduction & Need for EDA
  • Graphical & Non-Graphical EDA
  • Data Types, File Formats & Sampling
  • Numerical & Categorical Data
  • Data Ranges, Fill Rates & Distributions
  • Data Relationships & Contextual Analysis
  • Pattern Identification
  • Charts & Visualization Techniques
  • AI-Assisted EDA
  • Statistics Fundamentals & Applications
  • Types of Statistics
  • Population & Sample
  • Central Tendency, Variance & Distribution
  • Correlation & Covariance
  • Probability & Random Variables
  • Hypothesis Testing & Statistical Significance
  • Type I & Type II Errors
  • Regression Analysis
  • AI-Assisted Statistical Analysis
  •  
  • Excel Fundamentals & Copilot
  • Data Formatting & Management
  • Basic, Text, Logical, Mathematical & Statistical Functions
  • Date & Time Functions
  • VLOOKUP, HLOOKUP, INDEX, MATCH & UNIQUE
  • Sorting, Filtering & Data Validation
  • Conditional Formatting
  • Charts & Data Tables
  • Pivot Tables & Pivot Charts
  • Power Query & Power Pivot
  • Database Connections
  • Interactive Dashboard Development
  • AI-Assisted Excel Analysis
  • Databases, Tables & SQL Categories
  • Data Types & Constraints
  • CREATE, ALTER, DROP, TRUNCATE & INSERT
  • UPDATE & DELETE
  • SELECT, Aliasing & Filtering
  • WHERE, ORDER BY & Operators
  • SQL Functions & NULL Handling
  • GROUP BY, HAVING & Aggregations
  • CASE Statements & Regular Expressions
  • Joins & Set Operations
  • Subqueries & Correlated Queries
  • CTEs, EXISTS & NOT EXISTS
  • Window Functions
  • Views, Indexes, Procedures, Packages & Triggers
  • BigQuery & AI-Assisted SQL Analysis
  • Power BI Fundamentals & Data Sources
  • Power Query & Data Transformation
  • Data Profiling & Quality Analysis
  • Pivot, Unpivot, Append & Merge
  • Data Modeling
  • Star & Snowflake Schema
  • Relationships & Cardinality
  • DAX Fundamentals
  • Calculated Columns & Measures
  • DAX Functions & Time Intelligence
  • Filters, Slicers & Hierarchies
  • Drill Up, Drill Down & Drill Through
  • Bookmarks & Q&A
  • AI Insights & Summarization
  • Dashboard Publishing & Power BI Service
  • Tableau Fundamentals & Architecture
  • Dimensions & Measures
  • Data Connections & Data Preparation
  • Relationships, Joins, Blending & Union
  • Live vs Extract
  • Dimensions, Measures & Marks Card
  • Hierarchies, Groups, Sets & Parameters
  • Calculations & LOD Expressions
  • Table Calculations
  • Sorting, Dual Axis & Filters
  • Interactive Actions
  • Charts & Advanced Visualizations
  • Dashboard Creation
  • Storytelling & Insight Presentation
  • Python Programming Fundamentals
  • Python Notebooks & Google Cloud
  • AI-Assisted Coding
  • Variables & Data Types
  • Lists, Tuples, Sets & Dictionaries
  • IF-ELSE, Loops & Functions
  • NumPy & Pandas
  • Reading Different File Types
  • Data Manipulation & Indexing
  • Data Cleaning & Missing Values
  • Descriptive Statistics & GroupBy
  • Pivot, Merge, Join & Concatenation
  • Matplotlib & Seaborn
  • Charts & Data Visualization
  • Exploratory Analysis with Pandas
  • AI-Assisted Insights & Code Explanation
  • Neural Networks & Deep Learning
  • Generative AI Fundamentals
  • Large Language Models (LLMs)
  • LLM Training Fundamentals
  • Prompt Engineering
  • Strengths & Limitations of LLMs
  • ChatGPT, Microsoft Copilot & Google Gemini
  • AI for Data Collection & Cleansing
  • AI for EDA & Visualization
  • AI for Decision Making & Forecasting
  • AI Ethics, Bias & Limitations
  • AI Agents & Real-Time Analytics
  • Julius AI
  • AI-Assisted Data Analysis with GCP
  • Big Data Fundamentals & Characteristics
  • Vertical vs Horizontal Scaling
  • Hadoop & HDFS
  • MapReduce
  • Hive & HiveQL
  • Apache Spark Components
  • Spark SQL
  • Databricks for Data Analysis
  • Introduction to Snowflake
  • Modern Cloud Data Analytics Concepts
  • Rides Data Analysis
  • Airbnb Data Analysis
  • Telecom Customer Churn Analysis
  • IPL Data Analysis
  • Brazilian E-Commerce Analysis
  • Healthcare Analytics – Hospital Performance Analysis
  • Data Cleaning & KPI Creation
  • Dashboard Development
  • Insight Generation & Business Recommendations
    • Power Automate Fundamentals
    • Interface, Triggers & Actions
    • Templates & First Workflow
    • Connectors & Integrations
    • Excel, Outlook, SharePoint & Teams
    • Microsoft Forms & Email Automation
    • Automated, Instant & Scheduled Flows
    • Conditions, Branching & Loops
    • Variables, Expressions & Dynamic Content
    • Approval Workflows
    • Email Approvals & Multi-Step Processes
    • Error Handling & Debugging
    • Automation Best Practices
    • Real-Time Business Use Cases
    • Leave, Invoice, Email & Task Automation

     

     

Real Projects Where You'll Build on This Course

Rides Data Analysis

Analyze ride-sharing data to identify usage patterns, popular routes, revenue trends, and customer segments. Generate actionable insights to optimize pricing, driver allocation, and customer retention.

Tools Used:

Excel, SQL, Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Power BI

01

Airbnb Data Analysis

Analyze Airbnb listings to understand host behavior, guest preferences, pricing trends, amenities, reviews, and seasonal booking patterns. Build dashboards to support data-driven decisions.

Tools Used:

Excel, SQL, Python, Pandas, NumPy, Matplotlib, Seaborn, Power BI

02

Telecom Customer Churn Analysis

Analyze customer data to identify churn indicators, segment at-risk customers, and build machine learning models to predict churn. Develop strategies to improve customer retention and loyalty.

Tools Used:

Machine Learning — Logistic Regression, Decision Trees.

03

Healthcare Analytics Capstone

Analyze hospital and healthcare data to uncover patient trends, disease patterns, department performance, treatment costs, and operational insights. Develop KPI-driven dashboards for better decision-making.

Tools Used:

Excel • SQL • Power BI / Tableau • Python • ChatGPT / Copilot.

04

IPL Data Analysis

Analyze IPL match, player, and team performance data to identify winning trends, player contributions, and factors influencing match outcomes. Present insights through visualizations and dashboards.

Tools Used:

Python , Pandas ,Excel ,Power BI

01

Brazilian E-Commerce Analysis

Analyze e-commerce data to uncover purchase trends, customer demographics, order patterns, product reviews, payment methods, seller performance, and overall sales insights.

Tools Used:

Python , SQL , Excel , Power BI

02

Application Creation and Update Sets

 Build a custom ServiceNow application, configure forms and layouts, and migrate changes across instances using Update Sets.

🛠 Tools Used: ServiceNow Studio • Forms • Update Sets • Tables

Onboarding Service Catalog

Create an employee onboarding catalog with service requests for laptops, mice, and other organizational resources

🛠 Tools Used: Incident Management • Forms • UI Policies • Business Rules

Incident Management

Configure the Incident Management lifecycle with forms, field conditions, and workflow customization

🛠 Tools Used: Incident Management • Forms • UI Policies • Business Rules

Change Management

Implement the Change Management lifecycle with customized forms and approval workflows.

🛠 Tools Used: Change Management • Forms • Workflows • UI Policies

Problem Management

Build the Problem Management lifecycle with field configurations and process customizations.

🛠 Tools Used: Problem Management • Forms • Business Rules • UI Policies

Transform Map

 Import bulk Excel data into ServiceNow using Transform Maps while preventing duplicate records.

🛠 Tools Used: Import Sets • Transform Maps • Excel • Data Load

Why This Data Analytics Course Is Your Best Bet

👉 Module Wise Quizzes, Assignments, and Practice Questions

👉 100% Placement assistance

👉 Industry professionals with 10+ years of experience

👉 Live Chat support assistance

👉 Access to session recordings

👉 EMI Option also available with specified cards

👉 Get ₹10,000 Worth of Free Career Booster Add-On Sessions

👉 Dedicated Job Updates

👉 100% Live Training in Telugu

👉 Industry Ready Training

👉 Interview Questions & Study Materials

👉 Resume & Linked In Preparation

Career & Job Readiness Support

Every program includes industry-focused add-on sessions designed to help students crack jobs, freelance, switch careers, and grow professionally.

Career Acceleration Ecosystem

Everything you need beyond coding to become job-ready.

Resume Building

Session 01

LinkedIn Optimization

Session 02

Freelancing

Session 03

Career Switch Guidance

Session 04

Job Search Strategy

Session 05

Financial Awareness

Session 06

MAANG Preparation

Session 07

Agile & Scrum Workflow

Session 08

Git & GitHub

Session 09

HR + Salary Negotiation

Session 10

Communication Bootcamp

Session 11

Complete AI Data Analytics Course Fee

Actual Price

Rs. 79,999/-

Special Price

Rs. 13,999/-

Saving price

Rs. 66,000/-

Watch the Demo of Our AI Powered Data Analytics Course in Telugu to Get a Preview of the Topics Covered.

What Our Data Analytics Students Say

Nithin Manpati
Nithin ManpatiData Analytics Student
I joined FLM's Data Analytics course, and it exceeded my expectations. Every penny was worth it with excellent training, guidance, and support. Highly recommended!
kambala ajay sankar
kambala ajay sankarData Analytics Student
Flm is Good platform from Learning new Skills recently I learned Data analytics Course It was a great learning experience They teach very well and mentor support in any time It is a great platform for learning skills
Jonah Swabhijit Kothamasi
Jonah Swabhijit KothamasiData Analytics Student
I had a great learning experience at FLM. Praveen Angam explained every concept clearly, cleared all doubts, and made Data Analytics easy to learn. Highly recommended!
Shaik Moinuddeen
Shaik MoinuddeenData Analytics Student
I recently completed the Data Analytics course at FLM. Great training, excellent support, and special thanks to Praveen Sir for his guidance.
Abbireddy Hanook
Abbireddy HanookData Analytics Student
I'm glad I chose FLM for Data Analytics. The trainers were supportive, cleared every doubt, and provided real-time projects with excellent guidance.
Sarath kumar vemali
Sarath kumar vemaliData Analytics Student
Great learning experience at FLM! Praveen Sir explained every topic clearly. Real-time projects boosted my skills and confidence. Highly recommended!
Sai lakshman
Sai lakshmanData Analytics Student
I taken course for front line media in data analytics I learned lot of things for flm good mentorship and support guidance.
Ram
RamData Analytics Student
The Data Analytics course at FLM was excellent. Clear teaching, helpful study materials, doubt sessions, and real-time guidance made learning easy. Highly recommended
K Bala Gangadhar Tilak
K Bala Gangadhar TilakData Analytics Student
Hii, I completed the data analytics course from FLM and our mentor Praveen teaching was very good he explained every topic properly which help anyone to understand the concept
Ranga Nikhitha
Ranga NikhithaData Analytics Student
I joined FLM for the Data Analytics course and had a great experience. Practical training in Excel, SQL, Power BI, and Python boosted my confidence. Highly recommended
Hema Navitha Veeravalli
Hema Navitha VeeravalliData Analytics Student
Thank you FLM. The way you explain things makes even the most difficult topics easy to understand
saikumar
saikumarData Analytics Student
I had a great learning experience at FLM. The trainers explained concepts clearly with real-time examples, and the hands-on projects built my confidence. Highly recommended
Araveti Sesha Harika
Araveti Sesha HarikaData Analytics Student
I took training on data analytics class by praveen sir. The explanation was very good and easily understandable.
A.MOHITH KUMAR
A.MOHITH KUMARData Analytics Student
I'm highly impressed with FLM's quality training and dedication to student success. Their structured learning approach makes it a great choice for career growth. Highly recommended
Ramshetty Srikanth
Ramshetty SrikanthData Analytics Student
I'm highly impressed with FLM's quality training and dedication to student success. Their structured learning approach makes it a great choice for career growth. Highly recommended!
Maddur Meghana
Maddur MeghanaData Analytics Student
I joined FLM's AI-Powered Data Analyst course and loved it. Clear teaching, real-time examples, supportive trainers, and practical learning. Highly recommended!
Sushma Patel
Sushma PatelData Analytics Student
I enrolled in FLM's Data Analytics course and had a great experience. The practical training, hands-on projects, and supportive trainers helped me build strong skills and confidence.
HAFEEZA SHAIK
HAFEEZA SHAIKData Analytics Student
My journey with FLM was amazing. The AI-Powered Data Analytics course enhanced my technical skills through practical learning, hands-on projects, and expert guidance. Highly recommended
Maddula Kusuma Harish
Maddula Kusuma HarishData Analytics Student
I'm happy I joined FLM for the Data Analytics course. Affordable fees, clear teaching, quick support, and 2-year access to recorded videos made it a great learning experience. Highly recommended!
Sainivas Vilasagaram
Sainivas VilasagaramData Analytics Student
I recently completed the Data Analytics course at FLM. As a non-IT learner, I had a great experience. The trainer was supportive, and the communication and resume-building sessions were very helpful. Highly recommended!
Manasa Reddy Dumpala
Manasa Reddy DumpalaData Analytics Student
I recently completed FLM's Data Analytics course. Clear teaching, real-time examples, hands-on practice, and career guidance made learning easy. Highly recommended
Pushpa latha
Pushpa lathaData Analytics Student
I started my Data Analytics journey with FLM as a fresher. Recorded sessions, clear teaching, and flexible learning helped me study at my own pace. Highly recommended
Venkat Kumar Perumalla
Venkat Kumar PerumallaData Analytics Student
The trainers at FLM explain every topic clearly with practical, industry-focused training. The support team is always helpful. Highly recommended
Kondabathini Ramesh
Kondabathini RameshData Analytics Student
I joined FLM's Data Analytics course. Praveen Sir explained every topic clearly in Telugu, boosting my confidence and preparing me for interviews. Highly recommended
Digavinti Reddamma
Digavinti ReddammaData Analytics Student
I joined FLM's Data Analytics course through Instagram. The training was worth every penny, with clear explanations and excellent guidance. Highly recommended

Our Students Share Their Data Analytics Learning Experience

Career Paths After Learning AI Data Analytics

Job Role

Experience

Average Salary

Fresher Salaries

Data Analyst

Fresher

₹4.5 – ₹6 LPA

Junior BI Analyst

Fresher

₹3 – ₹6 LPA

Business Analyst

Fresher

₹3.5 – ₹7 LPA

Data Associate

Fresher

₹2.5 – ₹4 LPA

AI Analytics Associate

Fresher

₹5 – ₹8 LPA

Job Role

Experience

Average Salary

Experienced Salaries

BI Consultant

3–5 Years

₹9 – ₹15 LPA

Python Data Analyst

3–5 Years

₹10 – ₹18 LPA

AI-Powered Analytics

4–6 Years

₹12 – ₹20 LPA

Data Visualization Specialist

5–8 Years

₹12 – ₹25 LPA

Top Companies Hiring Data Analytics Graduates

Career Advancement Results

At Frontlines Edutech, we believe in transforming careers through high-quality, industry-relevant education. Our focus is on providing practical skills and knowledge that lead to real-world success. With a proven track record of impactful learning, we ensure our students are well-equipped to excel in their chosen fields and achieve their career goals with confidence.

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Frequently Asked Questions (FAQs)

No! Data Analytics is primarily a “Low-Code” field. While tools like Python and SQL are used, they are used for scripting and querying, not heavy software development. We focus on business logic, visualization, and using tools like Power BI. If you have basic logical thinking, we will teach you the rest from absolute zero..

Yes! In fact, students with commerce and business backgrounds often make the best Data Analysts because they already understand business operations, sales, and finance. You are simply learning the digital tools to analyze that data.

Basic Excel gets you a basic data entry job. To command a top-tier Data Analyst salary, you must know how to handle massive datasets using SQL, and how to build interactive, automated dashboards using enterprise tools like Power BI and Tableau.

No! AI will replace analysts who refuse to use AI. We teach you AI-Powered Analytics. You will learn how to use AI Copilots to write complex formulas for you, automate your reporting, and generate insights 10x faster than a traditional analyst.

Because Data Analysts directly impact a company’s revenue and efficiency, they are paid a premium. Freshers can expect starting salaries between ₹4 LPA and ₹7 LPA. As you master Power BI and business intelligence, salaries rapidly scale to ₹15 LPA to ₹25 LPA+.

SQL (Structured Query Language) is used to retrieve, filter, and analyze massive amounts of business data stored in corporate databases. It is a mandatory skill for interacting with backend data systems.

Yes. Python is an incredibly powerful language used to automate repetitive workflows, clean messy datasets, and perform advanced predictive analytics that go beyond the capabilities of standard Excel.

This course is entirely practical and project-driven. You will build a professional portfolio containing real-time business dashboards—including E-commerce tracking, Airbnb pricing, and Customer Churn analysis—using real-world datasets.

Absolutely. Every business globally generates data, but most don’t know how to visualize it. You can easily take on highly lucrative freelance projects building Power BI dashboards or running marketing analytics for international clients right from your laptop.

Yes! All sessions, practical tool implementations, and doubt-clearing classes are taught in Telugu. We break down complex SQL queries, database structures, and Python automation in your regional language to ensure absolute conceptual clarity.

Get Certified

Yes, you’ll get a Certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.

Approved by AICTE

Certified by ISO 21001:2018

Recognized by Startup India

Registered under MSME

DATA ANALYTICS Course in Telugu Certification| FLM | Frontlines Edutech

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