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Data Analytics Classes in Pune Below is an inclusive sample syllabus widely utilized in university or professional certification courses
(such as Google Data Analytics, Coursera, or university certificates):

Data Analytics Syllabus
Module 1: Introduction to Data Analytics
What is data analytics?
Role of a data analyst
Types of analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Data-driven decision making
Module 2: Data Collection & Data Sources
Data types: Structured vs. unstructured
Data sources: Databases, APIs, web scraping, surveys
Data warehousing and data lakes
ETL (Extract, Transform, Load) processes introduction
Module 3: Data Cleaning & Preprocessing
Significance of clean data

Dealing with missing or inconsistent data
Data transformation and normalization
Tools: Excel, Python (Pandas), R
Module 4: Exploratory Data Analysis (EDA)
Descriptive statistics: Mean, median, mode, standard deviation
Data profiling
Discovery of trends and patterns
Visualization tools: Matplotlib, Seaborn, Tableau, Power BI
Module 5: Data Visualization & Communication
Best practices for visual storytelling
Visualizations: Bar charts, histograms, scatter plots, dashboards
Making reports and dashboards
Tools: Tableau, Power BI, Google Data Studio
Module 6: Statistical Analysis
- Data Analytics Course in PuneProbability and distributions

Hypothesis testing
Correlation vs. causation
Linear and logistic regression
Module 7: SQL for Data Analytics
Fundamentals of databases