Role of a data analyst
Data Analytics Classes in Pune Types of analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Data-driven decision making
Module 2: Data Collection & Data Sources
Types of data: Structured vs. unstructured
Data sources: Databases, APIs, web scraping, surveys
Data warehousing and data lakes
Introduction to ETL (Extract, Transform, Load) processes
Module 3: Data Cleaning & Preprocessing
Importance of clean data
Handling 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
Identifying trends and patterns
Visualization tools: Matplotlib, Seaborn, Tableau, Power BI
Module 5: Data Analytics Course in Pune Data Visualization & Communication
Best practices for visual storytelling
Creating reports and dashboards
Tools: Tableau, Power BI, Google Data Studio
Module 6: Statistical Analysis
Probability and distributions
Hypothesis testing
Correlation vs. causation