5-7 Months of Instructor-led, Job Guarantee Data Science Course
Diploma in Data Science With Generative AI & ML
Become Next-Gen Data Scientist With Artificial Intelligence & Machine Learning
- Lifetime LMS Access
- Free Demo
- 24/7 Support
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Happy Students
4.9/5.0
Course Key Features
100%
JOB Guarantee
5-7
Months Program
100%
TOOL Driven Training
100%
MONEY BACK Guarantee
24*7
Support
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Why US
Earn an Elite Certificate
Joint program completion certificate from Lisburn University and BSAS
Immense Domain Exposure
Stay ahead of the curve by exploring the latest advancements in GenAI and its business use cases
Leverage the Lisburn Edge
Gain access to Lisburn's alumni association membership on program completion
Comprehensive Coverage
Learn GenAI concepts and applications through live sessions, tool demos, and guided practices
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 Career Opportunities
33.5 LPA
Highest Package
9.5 LPA
Average Package
95%
Placement Rate
20%
Average Salary Hike
Course Description
What will you learn?
 Topics:
- Descriptive Statistics: Mean, Mode, Median
- Variability: Standard Deviation, Variance, Range, Percentile, Quartile
- Correlation: Understanding relationships between variables
- Probability: Basic probability concepts
Objective:
Build a statistical foundation to analyze and interpret data effectively.
 Topics:
- Data Cleaning and Formatting
- Lookup Functions: VLOOKUP, HLOOKUP, LOOKUP
- Conditional Formatting
- Index Matching
- Pivot Table and Dashboard Creation
- Advanced Formulas: SUMIF, COUNTIF
- Introduction to VBA: Recording Macros
Objective:
Develop advanced Excel skills for data manipulation, analysis, and visualization.
 Topics:
SQL
- Getting Started with SQL
- Selecting and Retrieving Data
- Modifying and Analyzing Data
Power BI
- Introduction to Power BI
- Connecting Various Data Sources
- Data Preparation in Power Query Editor
- Data Analysis Expressions (DAX) in Power BI
Objective:
Equip students with the ability to retrieve, manipulate, and visualize data using SQL and Power BI.
 Topics:
- Python Basics: Expressions, Variables, and String Operations
- Python Data Structures: Lists, Tuples, Sets, and Dictionaries
- File Handling: Reading and Writing Files
- Pandas: Data Cleaning, Transformation, and Analysis
- NumPy: Numerical Operations and Array Manipulations
Objective:
Build a strong Python foundation for solving data science problems.
Topics:
Statistics
- Linear Algebra: Vectors, Matrices, Projections, SVD, EVD
- Probability and Statistics with NumPy: Bayes Theorem, Pearson and Spearman Distributions
- Advanced Linear Models: Linear Regression, Logistic Regression, Bias, Least Squares
Machine Learning
- Supervised Machine Learning
- Linear Regression (Univariate and Multilinear), Polynomial Regression
- Logistic Regression, Naïve Bayes
- Support Vector Machines, Decision Trees, Random Forests, KNN
- Unsupervised Machine Learning
- Clustering: K-Means
- Supervised Machine Learning
Objective:
Gain expertise in building and applying predictive models to solve real-world problems.
Topics:
- Introduction to Generative AI: Understanding GANs, Applications in Industry
- Deep Learning Frameworks: PyTorch and TensorFlow Basics, Neural Network Training
- Applications of Generative AI: Data Augmentation, Text/Image Generation, Chatbots
Objective:
Learn to build and deploy generative AI solutions for various domains.
Develop a comprehensive project using advanced statistics, machine learning, and generative AI techniques.
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Projects
Projects Ensure Hands-On Learning
Get 6+ Data Science projects, and participate in hackathons & group assignments to master the skill.
Predict Stock Prices
Skills required: Advanced Python, Machine Learning
Design a Recommendation System
Skills required: Advanced Python, Machine Learning
Retail Sales Data with Seasonal Trends & Marketing (Kaggle)
Skills required: Python & Power BI
Mobile Price Classification
Skills required: Advanced Python, Machine Learning
ChatGPT Users Reviews (NLP)
Skills required: Python, NLP
Relational Database and Dashboard Preparation
Skills required: Advanced Excel, SQL, Power BI
Tools Covered
As a part of this esteemed Data Science training, you will get hands-on training in cutting-edge tools and technologies. This will help you to enhance productivity and increase the efficiency of all your data-related work. Discover this wide array of tools that you will master during your Data Science journey:
Hiring Partners
Our Corporate Customer’s comes From Diversified Industries. From Banking, FMCG, IT, Infrastructure, E-Commerce, Media and much more
Specialization
Why Learn with BSAS
Build Job Interview Skills
Resume Building
Learning How To Learn
Hackathon
Corporate Culture & Behavioral Skills
Communication Skills
Mock Interviews Preparation
LinkedIn Profile Building
Problem-Solving/Critical Thinking
Testimonials
Help Center
Quick answers to questions you may have. Can’t find what you’re looking for? Check out our full documentation.
The BSAS Diploma in Data Analytics is a 4-month intensive program approved by DSAFS and Lisburn University, UK. It equips learners with cutting-edge analytical skills for roles like Data Analyst, Business Intelligence Specialist, or Data Visualization Expert. It’s ideal for career switchers, graduates, or professionals seeking to upskill in data-driven decision-making.
The curriculum includes:
Core Skills: Statistics, Python/R programming, SQL, and Excel.
Tools: Tableau, Power BI, and cloud analytics platforms.
Advanced Topics: Machine Learning basics, data storytelling, and real-world case studies.
Capstone Project: A hands-on industry-aligned project to showcase your skills.
No! The course is beginner-friendly and starts with foundational concepts. Basic math/statistics knowledge is helpful but not mandatory. Coding modules (Python/R) are taught from scratch.
The diploma is accredited by DSAFS and recognized by Lisburn University, UK, ensuring global credibility with employers.
BSAS offers:
Job Placement Assistance: Partnerships with India/UK/EU employers.
Career Workshops: CV building, LinkedIn optimization, and interview prep.
Industry Networking: Guest lectures and alumni connections.
The course runs for 4 months, with flexible online learning options. Live sessions are recorded, and self-paced modules allow you to balance studies with work.
You’ll master industry-standard tools:
Programming: Python, R.
Visualization: Tableau, Power BI.
Databases: SQL.
Analytics Platforms: AWS/Google Cloud basics.
Yes! The course includes:
Real-world datasets from healthcare, finance, and retail.
A capstone project where you solve a business problem and present insights.
Graduates secure roles like:
Data AnalystÂ
Business Intelligence Analyst.
Marketing/Operations Analyst.
Industries include tech, finance, healthcare, and e-commerce.
Yes! The approval of DSAFS and Lisburn University, UK ensures that the diploma is valued by employers globally. Graduates work in the UK, EU, and beyond.
