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1. DATA
ANALYTICS
COURSE
visit
now:https://techcadd.com/

2. WHAT IS
DATA ANALYTICS?
Process of examining data sets to
draw conclusions
Involves data collection,
processing, analysis, and
visualization
Helps in making data-driven
decisions

3. IMPORTANCE OF
DATA ANALYTICS:
Informed decision-making
Identifies trends and patterns
Improves efficiency and
performance
Widely used in business,
healthcare, sports, and more

4. TYPES OF DATA
ANALYTICS:
DESCRIPTIVE
ANALYTICS
PREDICTIVE
ANALYTICS
DIAGNOSTIC
ANALYTICS
PRESCRIPTIVE
ANALYTICS
What happened? What might happen?
what should be
done?
Why did it happen?

5. THE DATA
ANALYTICS
PROCESS:
1.Data Collection
2.Data Cleaning
3.Exploratory Data Analysis (EDA)
4.Modeling & Algorithms
5.Data Visualization
6.Reporting & Decision Making

6. Spreadsheets: Excel, Google
Sheets
Databases: SQL, MongoDB
Languages: Python, R
Libraries: Pandas, NumPy,
Matplotlib
Visualization: Power BI, Tableau
TOOLS USED IN
DATA ANALYTICS:

7. DATA COLLECTION
AND CLEANING:
Data sources: APIs, files, sensors, databases
Importance of data quality
Removing duplicates, handling missing values
Standardizing data formats

8. DATA
VISUALISATION
Helps communicate insights
clearly
Tools: Tableau, Power BI,
Seaborn, Plotly
Charts: Line, bar, pie, heatmaps

9. APPLICATION OF
DATA ANALYSIS
Business: Customer insights, sales
forecasting
Healthcare: Patient analytics,
diagnostics
Finance: Fraud detection, credit
scoring
Marketing: Campaign performance,
segmentation

10. CAREER SCOPE IN
DATA ANALYTICS
Data Analyst
Business Analyst
Data Engineer
Marketing Analyst
Product Analyst

11. THANK YOU
CONTACT
NO:9888122255
VISIT NOW:https://techcadd.com/