Explore data analytics through a 14-module curriculum and 5 project topics. Learn to turn raw data into analysis, dashboards and explanations. Develop Power BI, SQL, Python, statistics and ETL skills, then explore advanced SQL, DAX, KPI design, data quality, predictive analytics and data storytelling.
Online India & worldwideClassroom Learn at a branchHybrid Online + classroom
Classroom: Dilsukhnagar, Hyderabad
Online: USA, Canada, UK, Australia, New Zealand and Germany
Ask about your preferred mode, branch and upcoming batch.
Learn to turn raw data into analysis, dashboards and explanations. Develop Power BI, SQL, Python, statistics and ETL skills, then explore advanced SQL, DAX, KPI design, data quality, predictive analytics and data storytelling.
Your willingness to learn comes first
Who can join?
Build new skills or upgrade your technology knowledge. LearnAI welcomes students pursuing a degree, graduates, working professionals and learners from relevant domains.
Basic computer knowledge
Basic computer knowledge is recommended to help you participate in practical learning.
Students and professionals
Join while pursuing a degree, after graduation, or to develop skills for your relevant domain.
No prior technology knowledge required
You can begin without previous knowledge of the course technology. Bring your interest and willingness to learn.
No age limit
Learners of all ages are welcome. Learners under 18 should enrol with a parent or guardian’s consent.
What the curriculum develops
Skills you will practise.
Prepare reliable data
Practise cleaning, quality checks and ETL.
Analyse data using SQL and Python
Explore queries, DataFrames and exploratory analysis.
Build Power BI reports
Study advanced modeling, DAX and dashboards.
Define useful KPIs
Connect metrics with business questions and targets.
Explore predictive analysis
Study forecasting, evaluation and interpretation.
Tell a clear data story
Practise charts, report UX and insights presentation.
The complete learning path
Data Analytics course curriculum.
Explore all 14 modules. Open a module to view its topics, and discuss the delivery plan for your batch.
01 / Analytics tools and foundations
MODULE 01Power BI & Data Visualization
Business Intelligence Fundamentals
Power BI Desktop
Data Connections
Power Query
Data Transformation
Data Modeling
Table Relationships
DAX Fundamentals
Calculated Columns & Measures
Interactive Dashboards
Drill-Through Reports
Publishing & Sharing
MODULE 02SQL for Data Analytics
Database Fundamentals
Relational Databases
SQL Queries
Filtering & Sorting
Aggregate Functions
Group By & Having
Joins
Subqueries
Common Table Expressions
Window Functions
Views
Data Extraction
SQL Reporting
MODULE 03Python for Data Analytics
Python Fundamentals
Variables & Data Types
Conditions & Loops
Functions
Data Structures
File Handling
NumPy
Pandas
Matplotlib
Seaborn
DataFrames
Data Manipulation
Data Visualization
MODULE 04Statistics for Data Analytics
Descriptive Statistics
Mean, Median & Mode
Variance & Standard Deviation
Probability Fundamentals
Probability Distributions
Sampling Techniques
Correlation Analysis
Hypothesis Testing
Confidence Intervals
Regression Fundamentals
Statistical Interpretation
MODULE 05Data Processing & ETL
Data Collection
Data Investigation
Data Profiling
Data Quality Assessment
Missing Value Treatment
Duplicate Handling
Outlier Detection
Data Cleaning
Data Wrangling
Data Transformation
Data Integration
Feature Engineering
ETL Pipelines
Data Validation
02 / Domain foundations
MODULE 06Data Analytics Fundamentals
Data Analytics Overview
Types of Data Analytics
Analytics Lifecycle
Business Questions & Goals
Structured & Unstructured Data
Data Sources & Formats
KPIs & Success Metrics
Exploratory vs Confirmatory Analysis
Data Ethics & Privacy
Industry Use Cases
Analyst Workflow
MODULE 07Exploratory Data Analysis
EDA Fundamentals
Univariate Analysis
Bivariate Analysis
Multivariate Analysis
Descriptive Summaries
Distribution Analysis
Outlier Investigation
Missingness Patterns
Correlation Analysis
Group-wise Analysis
EDA with Python
Insight Documentation
MODULE 08Advanced SQL & Data Analysis
Complex Joins
CTEs & Nested Queries
Window Functions
Date & Time Analysis
Conditional Aggregations
Views & Reusable Queries
Query Optimization Basics
Cohort Analysis Concepts
RFM Analysis Concepts
SQL Data Validation
Business Reporting Queries
SQL Analysis Project
03 / Advanced analytics
MODULE 09Advanced Power BI & DAX
Advanced Data Modeling
Star Schema Concepts
Filter & Row Context
CALCULATE & Iterators
Time Intelligence DAX
Advanced KPI Measures
Drill-Through & Tooltips
Report Performance Basics
Power BI Dashboards
MODULE 10Business Metrics & KPI Development
Business Goal Mapping
Revenue & Growth Metrics
Cost & Margin Metrics
Customer Metrics
Operational KPIs
Metric Definitions
Target vs Actual
Variance & Trend Analysis
KPI Dashboard
MODULE 11Data Visualization & Storytelling
Chart Selection
Visual Hierarchy
Dashboard UX
Explaining Uncertainty
Audience-Based Reporting
Narrative with Data
Executive Summaries
Visual Best Practices
Insights Presentation
MODULE 12Data Quality & Governance
Data Accuracy & Completeness
Consistency & Timeliness
Data Validation Rules
Metadata & Documentation
Lineage & Traceability
Access & Privacy Basics
Quality Monitoring
Reproducible Analysis
MODULE 13Predictive Data Analytics
Predictive Analytics Basics
Regression & Classification Overview
Feature Engineering
Train / Test Split
Forecasting Fundamentals
Model Evaluation
Interpretation & Bias
Predictive Dashboard
04 / Project work
MODULE 14Real-World Data Analytics Projects
Sales Performance Dashboard
Customer Segmentation
Revenue & Profitability
Employee Performance
End-to-End Capstone
Explore the concepts visually
A visual look at the subject
Illustrative overviews. Refer to the curriculum for the topics included in your course.
Data Analytics overview · Open image to enlarge
Your technical toolkit
Tools and technologies in the curriculum.
Power BISQLPythonPandasNumPyDAXPower QueryScikit-learnMatplotlibSeaborn
Apply the learning
5 Data Analytics project topics.
Ask about the learning datasets, project selection, guidance and delivery for your batch.
Sales Performance Dashboard
Explore revenue, targets, trends and product KPIs.
Customer Segmentation
Analyse RFM, behaviour and customer groups.
Revenue & Profitability
Explore sales, margins, expenses and performance.
Employee Performance
Analyse headcount, performance and team trends.
End-to-End Capstone
Combine SQL, Python, ETL, statistics and Power BI.
Choose how you learn
Data Analytics training near you and online.
Online training
Join from India, the USA, Canada, UK, Australia, New Zealand and Germany. Confirm your batch and time-zone schedule.
Classroom training
LearnAI Classroom: Dilsukhnagar, Hyderabad. Confirm this course, batch and exact address before visiting.
Hybrid training
Discuss combined online and classroom participation at your preferred branch. Confirm the delivery arrangements for your batch.
Fees, duration, prerequisites and upcoming batches are available on enquiry.
Learn with professional guidance
Experienced trainers. Practical knowledge.
Working professionalsIndustry knowledge connected to practical learning10+ yearsRelevant professional experience within our core trainer teamExperienced trainersGuidance for concepts, tasks and project work
LearnAI’s core trainer team is supported by additional and part-time trainers. Trainer assignments and relevant experience vary by course, branch, training mode and batch availability. Experience figures refer to professional experience, not years of teaching.
For your batch’s trainer details, contact LearnAI.
Plan your next step
Career directions and learning support.
Roles to explore
Career directions listed in the brochure. Entry requirements depend on the role, employer and your background.
Data AnalystBusiness Data AnalystBI AnalystPower BI DeveloperReporting AnalystOperations AnalystJunior Data AnalystData Visualization Specialist
Discuss career assistance
Ask about resume preparation, ATS compatibility, job-description matching, cover letters, interview practice, job discovery and application support. Confirm current availability and what is included with your enrolment.
Enrolled students receive access details for their applicable LearnAI learning and career assistance applications.
Review the curriculum and ask for current delivery and enrolment details.
What does the LearnAI Data Analytics Course cover?
The curriculum has 14 modules. Learn to turn raw data into analysis, dashboards and explanations. Develop Power BI, SQL, Python, statistics and ETL skills, then explore advanced SQL, DAX, KPI design, data quality, predictive analytics and data storytelling.
Which tools and technologies are included?
The curriculum lists Power BI, SQL, Python, Pandas, NumPy, DAX, Power Query, Scikit-learn, Matplotlib, Seaborn. Ask LearnAI about software setup and any tool accounts required for your batch.
Which projects are listed?
Project topics include Sales Performance Dashboard, Customer Segmentation, Revenue & Profitability, Employee Performance, End-to-End Capstone. Confirm datasets, guidance and project selection with LearnAI.
Are Power BI, SQL and Python included?
Yes. The first five modules cover Power BI, SQL, Python, statistics and data processing with ETL. These foundations are followed by data analytics specialization topics.
Can I join online from outside India?
Yes. LearnAI offers online classes for learners in India and abroad, including the USA, Canada, UK, Australia, New Zealand and Germany. Ask about Data Analytics batch availability and your time-zone schedule.
Where can I attend classroom or hybrid training?
LearnAI is in Dilsukhnagar, Hyderabad. Confirm Data Analytics availability, delivery mode and the exact address before visiting.
What are the fees, duration and prerequisites?
Contact LearnAI on WhatsApp at +91 93900 23585 for current fees, duration, prerequisites and batch details. Share your background and preferred training mode.
What career assistance can I ask about?
Discuss resume support, job-description matching, interview practice, job discovery and application assistance. Confirm current availability and enrolment terms with LearnAI.
Discuss your learning goals
Ready to explore Data Analytics?
Share your background, preferred training mode, branch or country, and time zone.
