The Data Analysis Certificate and Training process of evaluating data and translating it into information. It consists of data mining, statistical analysis, business analytics, descriptive and predictive analysis, big data analytics, Paython with R-Programming, and SQL.ou’ll be ready to tackle any data analysis challenge in your future career.
Introduction to Data Analysis What is Data Analysis? Types of Data (Structured, Unstructured) Data Analysis Process Applications in Business, Finance, Healthcare, etc. Roles: Analyst vs Data Scientist vs Data Engineer.
Excel for Data Analysis Data Cleaning & Preprocessing in Excel
Pivot Tables, Charts, Filters Advanced Formulas (VLOOKUP, IF, INDEX-MATCH)
Power Query & Power Pivot basics.
Data Visualization with Tableau/Power BI Introduction to Visualization Tools Creating Dashboards Interactive Visuals & Reports Data Storytelling Techniques.
Statistics for Data Analysis Descriptive Statistics Probability & Distributions Hypothesis Testing Correlation & Regression Analysis.
Python for Data Analysis Python Basics (Variables, Loops, Functions)
Libraries: Number Pandas, Seaborn Data Manipulation & Cleaning Exploratory Data Analysis (EDA).
SQL for Data Extraction SQL Basics (SELECT, WHERE, JOIN, GROUP BY) Writing Queries for Reports Data Aggregation & Subqueries Connecting SQL with Analytical Tools.
Machine Learning for Data Analysis Introduction to ML Concepts
Supervised vs Unsupervised Learning Building Predictive.
Big Data & Cloud Tools (Intro Level) Introduction to Big Data Hadoop, Spark Basics Data Analysis on AWS/GCP/Azure (basic demo) Data Lakes vs Data Warehouses.
Real-World Case Studies & Projects Business Analysis Project Sales Forecasting Project Customer Segmentation Analysis Healthcare or Finance Dataset Analysis.
Capstone Project & Certification Capstone Project Presentation Resume & LinkedIn Optimization Interview Prep (Technical + Scenario-based) Final Assessment & Certification.
Mobile: 9100348679
Email: coursedivine@gmail.com
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