Business Intelligence and Data Analytics Specialisation

Acquire essential skills and insights crucial for thriving in this ever-evolving industry. Delve into advanced tools and methodologies to effectively analyse data and make strategic business decisions.

No Prior Programming Experience Required

Real world, industry-graded projects

Certificate of completion

Placement Assistance

Guest lectures from industry professionals

Learn by doing practical

About the course

Dive into the dynamic realm of Business Intelligence and Data Analytics with our specialized online course. Develop essential skills in data miningstatistical analysis, and reporting to uncover actionable insights that drive business growth. Whether you’re new to analytics or refining your expertise, this program empowers you with the tools and techniques needed to excel in implementing data-driven strategies for organisational success.


Tenure: 6 months

  • Introduction to the Jupyter Notebook environment. Basics Jupyter notebook Commands.
  • Syntax, variables, and Data types.
  • Data structures in python – List, Tuple, Set, Dictionary
  • Conditional statements – if, Else, Elif.
  • Loops – While & For Loops.
  • Functions – lambda, recursions, map, filter & reduce functions.
  • User-Defined Functions
  • Errors and Exceptions- Try and Except
  • List and Dictionary Comprehension
  • Introduction to DBMS & RDBMS
  • OLAP vs OLTP
  • Database Design
  • Database creation in MYSQL Workbench
  • Single Table Queries – SELECT, WHERE, ORDER BY, Distinct, And, OR.
  • Aggregation functions- Group by, max, min, sum,avg, etc.
  • Multiple Table Queries: INNER, SELF, CROSS, and OUTER, Join, Left Join, Right Join, Full Join, Union, Union All.
  • Subquery
  • Analytics Function- Partition by, rank, dense rank, row number, lag, lead, etc.
  • Pandas
  • Numpy
  • Data Cleaning – null and infinite values, outliers, capping, sanity
    checks, data formatting, etc.
  • Types of Variables – Categorical & Continuous
  • Visualization Libraries: Seaborn and Matplotlib
  • Exploratory Data Analysis: Univariate, Bivariate, and Multivariate analysis.
  • Data Transformation
  • Data Analysis Expressions (DAX)
  • Data Visualisation
  • Connectivity modes
  • Power BI report server

Agile Methodology

ETL Pipeline using Python, SQL and Power BI

  • Industry relevant projects
  • Mentorship by industry experts
  • Resume building
  • Mock interviews

Meet our team

Photo of a faculty member

Pranav Malik

SDE-2 - Microsoft

Photo of a faculty member.

Tarun Sachdeva

Senior Data Analyst - AMEX

Photo of a faculty member

Sawan Agarwal

Data Scientist - AdGlobal360

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Frequently asked questions

A question mark

This course is suitable for candidates pursuing graduation in any discipline or working professional. we will cover topics from beginner level to advance.

Fee structure can be divided into instalments. Moreover, we have loan partners which can help you in availing loan.

Yes, candidate have to use their own laptop.

There will be multiple projects for each learning module, although capstone project is the main project at the end of the course.

Yes, certificate will be provided by KRPro Learning PVT LTD.

Candidates are evaluated in the course through a series of tests and quizzes.

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