learn data Analytics
6 months
(3 hours/day)
44 students/ class
₹ 45,000
(Books are included)
course syallabus
Introduction
Data analytics is the process of evaluating raw data to identify trends,
insights, and patterns that can help make better decisions. Participants
in this course gain the ability to gather, handle, and evaluate data using
a variety of instruments and methods. By providing insights into important
performance metrics that propel organisational progress, it closes the gap
between data and workable business strategy. Participants will get an understanding
of the entire process of making data-driven decisions, from comprehending
information to analysing trends and sharing insights.
In today's data-driven world, organisations across industries use analytics
to gain a competitive advantage. This course helps students become proficient
with Excel, SQL, Power BI, and Tableau by fusing theory with practical projects.
This course offers a thorough foundation in the fundamentals of data analytics,
whether you want to start a career in data or advance your skills.
Objectives
After this course student will be able to:
- Recognise the basic ideas of data analytics.
- Discover how to collect and prepare data.
- Examine datasets to find trends and patterns.
- Gain expertise in data visualisation with Tableau and Power BI.
- Create and run SQL queries to retrieve and modify data.
- Learn about statistical methods for analysing data.
- Know how to communicate and analyse data insights.
- Take part in practical data analytics projects.
- Recognise the ethical issues surrounding data analysis.
- Develop your ability to make strategic decisions using analytics.
Certification
After finishing the course and the given assignments, participants will obtain a professional certification in data analytics. This accreditation enhances your resume and is accepted by top organisations.
Who can apply for this course?
- Fresh graduates seeking a career in data analytics.
- Professionals in finance, marketing, or operations aiming to upskill.
- Business owners looking to leverage analytics for decision-making.
- Students pursuing computer science, statistics, or mathematics.
- Anyone with a keen interest in data and its applications in the real world.
Training Methodology
- Interactive Sessions: Live instructor-led training sessions.
- Hands-On Projects: Real-life datasets and practical exercises.
- Case Studies: Analysis of real-world business problems.
- Tool Training: Comprehensive tutorials on Excel, SQL, Power BI, and Tableau.
- Assessments: Regular quizzes and assignments to track progress.
- Industry Insights: Guest lectures by industry experts.
- Capstone Project: Work on a project to demonstrate your skills.
