What Do Business Analytics Courses in Bangalore Cover | IABAC

Business Analytics courses in Bangalore cover data analysis, statistical methods, machine learning, and business intelligence. Students learn to interpret data, make data-driven decisions, and apply analytical tools to solve real-world business challenges effectively.

1. What Do Business
Analytics Courses
in Bangalore
Cover
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2. Introduction to Business Analytics
Core Concepts
Popular Tools
Key Skills Acquired
Course Structure
Career Opportunities
Conclusion
Agenda
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3. Introduction to Business Analytics
Business analytics is the practice of using statistical, quantitative, and operational
methods to analyze business data and derive actionable insights. It involves the
systematic exploration of data to inform decision-making, optimize processes, and
predict future trends. In today's data-driven world, business analytics is crucial for
organizations to stay competitive, improve efficiency, and drive growth. By leveraging
data, businesses can identify opportunities, mitigate risks, and enhance customer
experiences, thereby achieving better outcomes and strategic advantages.
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4. Core Concepts
Data Analysis is the process of examining, cleaning, transforming, and
modeling data to discover useful information, inform conclusions, and
support decision-making.
Data Visualization entails presenting data in graphical or pictorial formats like
charts and graphs, making complex data more accessible and
understandable.
Data Collection involves gathering information from various sources such as
databases, surveys, and sensors. This is the foundational step in any analytics
process.
Data Analysis
Data Collection
Data Visualization
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5. Excel: Widely used for data
manipulation, basic analysis,
and visualization. Its pivot
tables and functions are
essential for quick data
insights.
SQL: Fundamental for
querying and managing large
databases. It allows for
efficient data extraction,
filtering, and aggregation from
relational databases.
Python: Versatile
programming language ideal
for complex data analysis,
statistical modeling, and
creating predictive algorithms
with libraries like Pandas and
Scikit-learn.
Tableau: Powerful data
visualization tool that
transforms raw data into
interactive and shareable
dashboards, enhancing data
storytelling and
decision-making.
01
02 03 04
Popular Tools
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6. Developing the ability to identify issues, analyze data, and
create data-driven solutions to business challenges.
Students learn how to approach complex business problems
using logical and structured thinking, enabling them to
interpret data effectively.
Proficiency in tools like Excel, SQL, Python, and Tableau,
which are essential for data manipulation, analysis, and
visualization.
Skills to effectively present and communicate data insights to
stakeholders, ensuring that data-driven decisions are
well-understood.
Problem-Solving
Analytical Thinking
Communication
Technical Proficiency
Key Skills Acquired
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7. Course Structure
Introduction
The course begins with an
introduction to business
analytics, covering fundamental
concepts, industry relevance,
and the role of analytics in
decision-making.
Course Syllabus
Overview of Business Analytics
Introduction to Key Tools
Core Modules
Students delve into core modules
that include data collection, data
cleaning, data analysis, and data
visualization. These modules
build a strong foundation in
analytics techniques and tools.
Practical Sessions Capstone Project
The course concludes with a
capstone project where students
work on a comprehensive
analytics project. This project
synthesizes all learned skills and
provides practical experience.
Comprehensive Analytics
Project Project Report
Presentation of Findings
Case Studies Group
Projects Software
Applications
Practical
Assignments
Hands-on practical sessions
allow students to apply
theoretical knowledge to real-
world scenarios. These sessions
often involve case studies, group
projects, and the use of analytics
software.
Data Collection
Techniques Data
Cleaning Methods Data
Analysis Frameworks
Data Visualization
Techniques
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8. Career Opportunities
Data Analysts interpret complex
data to help organizations make
informed decisions, typically
working with databases and
statistical software.
Business Analysts bridge the gap
between IT and business,
analyzing processes, systems, and
data to improve efficiency and
effectiveness.
Data Scientists combine
programming, statistical analysis,
and machine learning to uncover
insights from large datasets,
driving strategic decisions.
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9. Conclusion
Taking a business analytics course in Bangalore offers numerous benefits, including access to a
thriving tech ecosystem and industry experts. These courses equip you with essential skills in
data analysis, visualization, and decision-making, positioning you for high-demand roles such as
Data Analyst, Business Analyst, and Data Scientist. Moreover, the practical experience gained
through real-world projects enhances your employability and prepares you for the dynamic
business environment.
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