HAMMONTON BLOG

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: Data Analytics Course in Pune 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

Probability and distributions

Hypothesis testing

Correlation vs. causation

Linear and logistic regression

Module 7: SQL for Data Analytics

Fundamentals of databases