What does the Data Analytics course cover?

Data Analytics Classes in Pune A Data Analytics course would ideally include a mixture of theoretical foundations and hands-on skills in deriving insights from data. The exact topics may differ based on the platform or institution, 

but here's an overview of what is generally included:

1. Introduction to Data Analytics

Overview of data analytics and its uses

Data lifecycle and workflow

2. Data Cleaning and Collection

Data types and sources (unstructured vs. structured data)

Data collection techniques (surveys, APIs, web scraping, etc.)

Data cleaning methods: missing values, duplicates, outliers, and inconsistencies

3. Data Exploration and Visualization

Exploratory Data Analysis (EDA)

Summary statistics and distribution analysis

Visualization tools and techniques for data

4. Statistical Analysis

Probability and statistical distributions

Hypothesis testing and confidence intervals

Correlation and regression analysis

Inferential statistics

5. Data Analytics Course in Pune Tools and Technologies

Excel for basic analysis

SQL for database querying

Python or R for advanced analytics

Introduction to Jupyter Notebooks or RStudio

Supervised vs. unsupervised learning

Model evaluation metrics

7. Data Ethics and Governance

Data privacy and security

Ethical considerations in data use

Regulatory compliance (e.g., GDPR)

8. Capstone Project or Case Studies

Real-world datasets

End-to-end project using data cleaning, analysis, visualization, and reporting

Presentation of findings

Would you like an outline of what a particular course  Data Analytics Training in Pune entails (e.g., from Coursera, Google, or a university)?