Build your data science foundation, from Power BI, SQL and Python to predictive models, deep learning and deployment. Explore a 20-module curriculum with five project topics.
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.
5 project topicsPrediction, segmentation and a capstone
3 training modesOnline · Classroom · Hybrid
Talk to LearnAIFees, duration and batch details
Understand the programme
From data to data science applications.
LearnAI’s Data Science curriculum combines Power BI, SQL, Python, statistical foundations and data preparation with exploratory analysis and business storytelling. It covers predictive modelling, evaluation, deep learning, computer vision, application development and deployment, followed by project work.
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.
Analyse data and build dashboards
Practise Power BI, SQL, Python and visualization for data analysis.
Clean and process datasets
Study missing values, outliers, transformation and ETL pipelines.
Explore data and test hypotheses
Use exploratory analysis and statistics to investigate patterns.
Build and evaluate predictive models
Study regression, classification, clustering and model tuning.
Explore deep learning and vision
Learn neural network, image processing, ANN and CNN fundamentals.
Communicate and deploy your work
Connect insight storytelling, APIs and deployment in project work.
The complete learning path
Data Science course curriculum.
Explore all 20 modules. Open each module to see its topics, and discuss the delivery plan with LearnAI for your batch.
01 / Analytics and data foundations
MODULE 01Power BI & Data Visualization
Business Intelligence Fundamentals
Power BI Desktop
Power Query
Data Modeling
DAX Basics
Interactive Dashboards
Drill-Through Reports
Publishing & Sharing
MODULE 02SQL for Data Analytics
Database Fundamentals
SQL Queries
Filtering & Sorting
Joins
Aggregate Functions
Subqueries
Window Functions
SQL Reporting
MODULE 03Python for Data Analytics
Python Fundamentals
Variables & Data Types
Functions
NumPy
Pandas
Matplotlib
Seaborn
DataFrames & Analysis
MODULE 04Statistics & Probability for Data Science
MODULE 19Data Science Application Development & Deployment
Flask / FastAPI Basics
Model Serialization
Prediction APIs
Input / Output Handling
API Testing
Integrating Models with Applications
Demo Applications
Deployment Basics
MODULE 20Real-World Data Science Projects
Sales Forecasting & Business Insights
Customer Segmentation & Churn Prediction
Healthcare Predictive Analytics
Financial Risk Analysis
End-to-End Data Science 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 Science overview · Open image to enlargeData Science workflow · Open image to enlarge
Your technical toolkit
Tools and libraries in the curriculum.
Power BISQLPythonNumPyPandasMatplotlibSeabornScikit-learnTensorFlowKerasOpenCVFastAPIFlaskGit & GitHub
Apply the learning
Five Data Science project topics.
Project topics listed in the curriculum. Ask about the datasets, guidance and project selection for your batch.
PROJECT 01
Sales Forecasting & Business Insights
Explore sales data, forecast future sales and communicate business insights.
PROJECT 02
Customer Segmentation & Churn Prediction
Group customers and build a model to explore churn patterns.
PROJECT 03
Healthcare Predictive Analytics
Use a learning dataset to explore disease risk and patient outcome prediction.
PROJECT 04
Financial Risk Analysis
Use a learning dataset to explore credit risk and loan default prediction.
PROJECT 05
End-to-End Data Science Capstone
Connect data analysis, model building, application development and deployment.
Choose how you learn
Data Science training near you and online.
Online training
Join from India, the USA, Canada, UK, Australia, New Zealand and Germany. Confirm the batch schedule for your time zone.
Classroom training
LearnAI Classroom: Dilsukhnagar, Hyderabad. Ask about Data Science classroom batch availability.
Hybrid training
Discuss a combination of online and classroom participation at your preferred branch. Confirm how your batch will be delivered.
Fees, duration, prerequisites and upcoming batch dates 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
The brochure identifies these career directions. Entry requirements depend on the role, employer and your background.
Data ScientistJunior Data ScientistData AnalystMachine Learning AssociatePredictive Analytics AssociateBusiness Intelligence AssociateAI / ML Developer
Discuss career assistance
Ask LearnAI about resume preparation, ATS compatibility, job-description matching, cover letters, interview practice, job discovery and application support. Confirm the available services and what is included with your enrolment.
Enrolled students receive access details for their applicable learning and career assistance applications.
Review the curriculum and ask LearnAI for the current delivery and enrolment details.
What does the LearnAI Data Science course cover?
The 20-module curriculum includes Power BI, SQL, Python, statistics, ETL, exploratory analysis, feature engineering, storytelling, machine learning, deep learning, computer vision, application development, deployment and projects.
Are Power BI, SQL and Python included?
Yes. The first three modules cover Power BI and data visualization, SQL for data analytics, and Python for data analytics. Python topics include NumPy, Pandas, Matplotlib, Seaborn and DataFrames.
Does the course include deep learning and computer vision?
Yes. Modules 15 to 18 cover deep learning fundamentals, artificial neural networks, computer vision fundamentals and convolutional neural networks.
Which projects are listed in the curriculum?
The brochure lists sales forecasting and business insights, customer segmentation and churn prediction, healthcare predictive analytics, financial risk analysis and an end-to-end Data Science capstone. Confirm datasets, guidance and project selection for your batch.
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 Science batch availability and time-zone scheduling.
Where can I attend classroom or hybrid training?
LearnAI is in Dilsukhnagar, Hyderabad. Confirm Data Science course 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 the current fees, duration, prerequisites and batch schedule. Share your programming, mathematics and analytics background to discuss your starting point.
What career assistance is available?
Ask about resume preparation, ATS compatibility, job-description matching, cover letters, interview practice, job discovery and application support. Confirm the services currently available and included with your enrolment.
Let’s discuss your learning goals
Ready to explore Data Science?
Share your background, preferred training mode, branch or country, and time zone. LearnAI can help you review the current programme details.
