4 Months of Classroom Based, Job Guarantee Data Analytics Course
Diploma in Data Analytics With Generative AI
Become a Next-Gen Data Analyst with hands-on practical exposure to tools like Python, Tableau, Excel, R & Power BI.
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- Free Demo
- 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
Guaranteed Placement Assistance
18 LPA
Highest Package
6 LPA
Average Package
95%
Placement Rate
20%
Average Salary Hike
Course Description
What will you learn?
A solid understanding of statistics is essential for data analytics. This module lays the foundation with key statistical concepts:
- Descriptive Statistics – Learn how to measure and summarize data using mean, mode, and median to understand central tendencies.
- Variability – Explore how data points differ by using standard deviation, variance, range, percentile, and quartile to measure distribution spread.
- Correlation – Understand the strength and direction of relationships between different variables.
- Probability – Gain insights into basic probability concepts, which help in making data-driven predictions and risk assessments.
👉 Outcome: By the end of this module, students will be comfortable interpreting and summarizing datasets using statistical methods.
Excel remains a critical tool for data professionals. This module covers advanced techniques for handling data efficiently:
- Data Cleaning and Formatting – Learn how to remove duplicates, handle missing data, and standardize formats for accurate analysis.
- Lookup Functions (VLOOKUP, HLOOKUP, LOOKUP) – Understand how to extract and match data across large spreadsheets.
- Conditional Formatting – Automate data highlighting to identify key patterns or outliers.
- Index Matching – A powerful alternative to VLOOKUP for more flexible and efficient data searches.
- Pivot Tables and Dashboard Creation – Learn how to summarize, filter, and analyze data dynamically and create interactive reports.
- Advanced Formulas (SUMIF, COUNTIF, etc.) – Use logical and conditional formulas for advanced calculations and data aggregation.
- VBA and Macros (Intro) – Automate repetitive tasks and enhance productivity by learning the basics of Visual Basic for Applications (VBA) and recording macros.
👉 Outcome: Students will develop strong Excel skills, enabling them to clean, manipulate, and visualize data effectively.
This module introduces SQL and Power BI, two essential tools for managing and visualizing large datasets.
SQL Basics
- Getting Started with SQL – Understand how databases work and learn the basics of writing SQL queries.
- Selecting and Retrieving Data – Use SELECT statements to extract relevant data from databases.
- Modifying and Analyzing Data – Learn how to filter, sort, and manipulate data using SQL functions.
Power BI Basics
- Introduction to Power BI – Get familiar with the interface and how to connect various data sources.
- Data Preparation in Power Query Editor – Clean and transform raw data before analysis.
- Data Analysis Expressions (DAX) – Learn advanced formulas to calculate and filter data dynamically.
👉 Outcome: By the end of this module, students will be able to write SQL queries and create interactive dashboards in Power BI.
Python is widely used for data manipulation and automation. This module focuses on:
- Python Basics – Learn how to write basic scripts, use expressions, and manipulate strings.
- Python Data Structures – Work with lists, tuples, sets, and dictionaries for organizing data.
- File Handling – Read and write text, CSV, and Excel files for data analysis.
- Pandas – Use dataframes to clean, filter, and analyze structured data.
- NumPy – Perform mathematical operations and array manipulations efficiently.
👉 Outcome: Students will become proficient in Python for handling, cleaning, and analyzing datasets.
A deeper dive into Power BI and SQL for advanced data analytics:
- Advanced Dashboard Creation in Power BI – Learn how to create customized and interactive dashboards for business reporting.
- Advanced DAX Expressions – Write complex DAX functions to perform in-depth data analysis.
- SQL Subqueries and Joins – Learn how to combine multiple tables using subqueries and joins for efficient data retrieval.
- Optimizing SQL Queries – Improve database performance with query optimization techniques.
👉 Outcome: Students will develop expert-level skills in SQL and Power BI, making them capable of handling complex business analytics tasks.
Students will apply their learning in a hands-on project where they will:
- Collect, clean, and process raw data
- Analyze and extract insights using SQL and Python
- Build a Power BI dashboard for data visualization
- Present data-driven recommendations
👉 Final Outcome: Graduates will have a portfolio-worthy project showcasing their data analytics expertise.
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Case Studies
4 Global Case Studies
Explore how BSAS Digital Marketing Course empowers students with practical expertise by analyzing real-world challenges. Each case study offers insights into industry-relevant strategies, fostering problem-solving skills and driving measurable success for businesses across various sectors.
Sales Performance Analysis (KPI)
Skills required: Excel
HR Analytics Employee Attrition & Performance
Skills required: Power BI or Tableau
Retail Sales Data with Seasonal Trends & Marketing (Kaggle)
Skills required: Python & Power BI
Relational Database and Dashboard Preparation
Skills required: Advanced excel, SQL, Power BI
Tools Covered
As a part of this esteemed Data Analytics 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 Analytics 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.
