What is data analytics syllabus?
Data Analytics Syllabus
Module 1: Data Analytics Classes in Pune 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
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 Visualization & Communication
Best practices for visual storytelling
Creating reports and dashboards
Tools: Tableau, Data Analytics Course in Pune 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
Basics of databases
Writing SQL queries
Joins, filters, and aggregations
Data manipulation and extraction
In this digital age data isn't just numbers. It's the basis of every business decision that is successful. From small businesses up to large corporations businesses are using data to boost expansion, increase efficiency and gain a better understanding of customer behavior. This is why professionals with expertise with data analysis are highly sought-after across various industries. If you're considering a career in analytics, enrolling into an Data Analytics course in Mumbai is the ideal initial step.