Data analytics. Course syllabus

1.

DATA ANALYTICS
COURSE SYLLABUS
We you aware that the worldwide data analytics market is
predicted to expand from $7. 03 billion in 2023 to $303.4 billion by
2030 with a compound annual growth rate (CAGR) of 27. 6%?
www.analyticsshiksha.com

2.

WHAT IS DATA ANALYTICS?
Definition
Types
Data Analytics is the process
of examining, cleaning, and
interpreting data to extract
useful insights for decisionmaking.
It includes Descriptive,
Diagnostic, Predictive, and
Prescriptive Analytics, each
serving different business
needs.
Applications
Used in marketing,
healthcare, finance, and
more to optimize strategies,
improve efficiency, and
predict trends.

3.

WHAT IS A DATA ANALYTICS
COURSE?
Data Analytics is a course that covers the concept of dealing with
data in a business and understanding how business problems can
be solved through machine learning algorithms and how the value of
raw data can be created in this process.

4.

DATA ANALYTICS COURSE SYLLABUS
Data Handling &
Visualization
• Excel
• SQL
• Python
• Power BI
• Tableau
Statistical & Analytical
Techniques
• Data
• Cleaning
• EDA
• Hypothesis
Testing
Business Applications
& Case Studies
• Real-world Projects
• Problem Solving

5.

BENEFITS OF DATA ANALYTICS
• Improved Decision Making
• Enhanced Customer Experience
• Improved Risk Management
• Targeted Marketing and Personalization
• Cost Reduction
• Fraud Detection
• Improved Efficiency and Productivity

6.

WHAT MAKES THE ABOVE COURSE
SYLLABUS THE BEST CHOICE?
This course covers what you need to know, from the
basics to more complicated, as a beginner. Hence, by the
end of this course, you can certainly showcase your level
of proficiency in Data Analytics.

Data analytics. Course syllabus

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