Business Intelligence and Data Analytics Specialisation
Offline • 06 Months
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
Scholarship available*
Placement assistance
About the course
Dive into the dynamic realm of Business Intelligence and Data Analytics with our specialized online course. Develop essential skills in data mining, statistical 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.
- No prior programming experience required
- Industry graded projects
- Certificate of completion
- Placement assistance
- Guest lectures by industry professionals
- Learn by doing practical
Comprehensive curriculum
- 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
Earn a certificate upon course completion
* Image for illustration only. Certificate subject to change.
The learning environment here is great. The coaching centre provides everything we need so that we are not disturbed while studying. The facilities in the classroom are top quality, making it perfect for learning. I believe it is worth it for anyone who wants to join. The faculty members are very supportive. Their teaching style is excellent and easy to understand. They always make sure we get the concepts and are always available to help us with any questions. We also have weekly doubt sessions which are very helpful. So far, I have really enjoyed studying at KRPro.
Our Faculty
Pranav Malik
SDE-2 - Microsoft
Tarun Sachdeva
Senior Data Analyst - AMEX
Sawan Agarwal
Data Scientist - AdGlobal360
Pritesh Srivastava
Trainer
Upto 12 months of career support
Mock interviews with industry experts
Resume building
Naukri.com and Linkedin profile building
Placement assistance
Frequently asked question
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.
Candidates are evaluated in the course through a series of tests and quizzes.
Candidates are evaluated in the course through a series of tests and quizzes.
