Advanced Program in Data Analytics
- 4.5/5 (1500+ Student's Ratings)
Designed by top data professionals, ScaleUp’s Post Graduate Program in Data Analytics equips you with the tools, techniques, and practical skills to turn raw data into meaningful insights—paving the way for a high-impact career in business, tech, finance, and beyond.



Next Cohort
This Week
Duration
6 Months . Online
20+
Freelance Projects
Eligibility
Freshers, Experienced
What You’ll Get with the ScaleUp Experience
Our Post Graduate Program in Data Science & AI is designed to give you more than just knowledge—it gives you the edge to thrive in the real world. With hands-on learning, expert guidance, and career-focused support, here’s everything that comes with the program:
- 1:1 Doubt Clearing Session
- Live Hackathons
- Lifetime Career Support
- Webinars And Workshops
- Extensive Course Materials
- 250+ Hours of Self Paced Learning
- 400+ Hours of Live classes
- Industry Expert Mentors
- 360° Placement Assistance
- 24/7 Student Support
- Personalized Learning Paths
- Regular Assessments
- Progress Tracking
- Networking Opportunities
- Flexible Learning Schedules
- Strong Alumni Network
- Interview Preparation
- Certification Programs
- Interactive Learning Platform
- Real World Projects
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Languages and Tools Covered




























Course Curriculum
Our curriculum is designed to make you job-ready from day one. You’ll learn essential tools like Python, SQL, and Excel—skills every data professional needs. From writing clean code and automating tasks to mastering pivots, lookups, and queries, you’ll gain the confidence to handle real data challenges. We’ll also cover key statistical concepts like regression, correlation, distributions, and eigenvalues, helping you not just understand the math, but apply it to real-world problems. Every concept is tied to practical business use—so you’re not just learning, you’re preparing to perform.
- Modules
Excel
- Arithmetic Operators, Sort & Filter, Statistical and Mathematical Functions, Conditional Formatting
- Lookup, Index & Match, Logical, Text Functions, Pivot
Tables - Data Cleaning, What if analysis, Scenario Management.
- Charts, Dashboards, Regression, and Forecasting
Power BI
- Power BI Installation + Introduction to Data Cleaning and
Preparation using Power BI - Introduction to Feature Engineering and Data Modelling in
Power BI. - Introduction to Charts, Maps, and Dashboards in Power BI.
Tableau
- Tableau Installation + Introduction to Tableau, Charts and Maps, Fundamentals of Data Visualization and Reporting.
- Introduction to Calculated Fields, Table Calculations, Aggregations, Granularity and LOD Expressions
- Introduction to Data Extracts, Filters, Tableau Dashboards, Tableau Storyboards, and Formatting.
SQL Course: MySQL, NoSQL, & CQL
- Database Fundamentals, DDL, DML, DQL, CQL Queries.
- SQL Joins, Sub-Queries, Set Operations, and Writing Complex Queries.
- Accessing and Loading Databases and Performing Query Analysis in Python.
- Fundamentals of MongoDB: Documents and Collections.
- Introduction to MongoDB Replica Sets, Sharding, and Indexes.
- CQL (Cassandra Query Language) Fundamentals, Keyspaces, and Tables.
- Advanced CQL Queries, Indexes, and Materialized Views in Cassandra.
Python
- Python Installation + Variables, Operators, Strings, Datatypes, and Data Structures such as Lists, Tuples, Dictionaries, and Sets.
- Functions, Parameters, Arguments, Anonymous Functions, Strings, String methods, Regular Expressions
- Introduction to Loops, Conditionals, Break, Continue, Object Oriented Concepts, and Space-Time Complexity.
Statistics and Hypothesis Testing
- Python Installation + Variables, Operators, Strings, Datatypes, and Data Structures such as Lists, Tuples, Dictionaries, and Sets.
- Functions, Parameters, Arguments, Anonymous Functions, Strings, String methods, Regular Expressions
- Introduction to Loops, Conditionals, Break, Continue, Object Oriented Concepts, and Space-Time Complexity.
Data Analysis and Visualization
- Introduction to Numpy and Pandas
- Introduction to Matplotlib and Seaborn
Data Cleaning, Preparation, Processing
- Dealing with Missing Values, Dealing with Outliers and Skewness, and Encoding Categorical Data
- Introduction to Data Manipulation Functions, Statistical Transformations, and Feature Engineering
- Introduction to Sampling and Resampling Techniques, Introduction to Feature Scaling Techniques.
Machine Learning
- Introduction to Linear and Logistic Regression.
- Introduction to KNN, SVM, and Naive Bayes Theorem.
- Introduction to Decision Trees and Random Forests.
- Introduction to Boosting Algorithms, and Imbalanced
Introduction to Unsupervised Learning
- Introduction and Implementation of K Means and
Hierarchical Clustering. - Introduction and Implementation of PCA and LDA.
Time Series and Recommender Systems
- Time Series Fundamentals, AR, MA, ARMA, ARIMA, SARIMA,
ARIMAX etc. - Content & Collaborative based Filtering.
- Soft Skills Program
Technical skillset and your soft skills combine to make you employable. In order to make our learners employable, dedicatedly placement-oriented sessions are conducted while highlighting the use of Github, Linkedin, and other tools during the job search.
- Resume Building
- Communication Skills
- Interview Preparation
- Time Management
- HR Round Guidance
- E-mail Writing
- Personality Development
- Emotional Intelligence
- Conflict Management
- Salary Negotiation
- Creativity
- Get Certification

Projects
Fraud Detection
Analyze transaction data to detect fraudulent activities, developing algorithms to flag suspicious transactions and prevent financial losses.
Skills Needed →
Customer Segmentation
Segment customers based on demographics, behavior, or purchasing patterns to enable targeted marketing and personalized business offerings.
Skills Needed →
Sentiment Analysis
Analyze customer reviews, social media posts, or survey responses to gauge sentiment, providing insights into customer satisfaction and improvement areas.
Skills Needed →
Churn Analysis
Identify factors causing customer attrition and develop predictive models to forecast which customers are at risk of leaving.
Skills Needed →
Supply Chain Optimization
Analyze supply chain data to identify inefficiencies, optimize inventory levels, and improve logistics processes to reduce costs and streamline operations.
Skills Needed →
Energy Consumption Forecasting
Use historical energy consumption data to predict future demand, helping energy companies plan resources and optimize distribution.
Skills Needed →
Healthcare Analytics
Analyze patient data, medical records, or clinical trial data to identify trends, diagnose diseases, and predict outcomes for better healthcare delivery.
Skills Needed →
Traffic Analysis and Optimization
Analyze traffic flow data to detect congestion hotspots, optimize signal timings, and plan infrastructure improvements for better urban traffic management.
Skills Needed →
Let’s talk about your goals.
Book a free call with one of our experts.
Frequently Asked Questions (FAQ)
ScaleUp offers skill-focused programs in Data Science, AI, Cybersecurity, Business Analytics, and more — all built to help you grow in today’s digital-first world.
Yes. Whether you’re just starting out or switching careers, our courses are designed to guide you step by step — no prior experience needed.
Definitely. Every program includes practical projects, case studies, and challenges that help you apply your skills in real-life scenarios.
You’ll learn from seasoned industry professionals — people who’ve worked in top companies and bring real-world experience into every session.
Yes, we do. You’ll get help with resume building, job hunting strategies, interview prep, and even referrals through our career support team.
Of course. You’ll retain access to all your learning materials, so you can revisit lessons or refresh your knowledge anytime you need.
Yes. You’ll earn an industry-recognized certificate from ScaleUp.
Yes. You can learn at your own pace, with access to both live sessions and recorded content — designed to fit around your schedule.
You’ll have access to mentors, doubt-solving sessions, discussion forums, and personal learning assistants to help you stay on track.
Absolutely. You’ll join a vibrant group of peers, mentors, and alumni — a space to ask questions, share progress, and grow together.