This Month You Will Master the Basics & Start Thinking Like an Analyst
The Role of Data Analytics in Business
Types of Data (Qualitative VS Quantitative)
Data Collection Methods you can Apply instantly
Identifying and Handling Missing or Dirty Data
Core Cleaning Techniques
Data Transformation & Normalisation for Consistency
Soft Skills Practice
+ Problem Solving
+ Critical thinking
+ One-on-one consultation
Presentation 1
Exploratory Data Analysis (EDA)
Tools for data visualisation (Excel, Power BI)
Creating professional charts, graphs & dashboards
Descriptive statistics (mean, median, standard deviation)
Probability distributions
Hypothesis testing & confidence intervals
+ Data Cleaning
+ Data Visualization & Storytelling
+ Presentation 2 (Group work)
Advanced Excel (VLOOKUP, PivotTables, Conditional Formatting)
Data Analysis ToolPak for deeper insights
SQL essentials (writing queries, retrieving & aggregating data)
Work with real database examples
Python basics and key libraries (Pandas, NumPy)
Data manipulation and visualisation with Matplotlib
+ Personal Branding Classes
+ Presentation 3 & 4 (Interview Preparation)
Group & Solo Data Analysis Projects
Live Presentations + Peer & Mentor feedback
Final Q&A and Soft Skills for Data Roles
Final Portfolio Submission
Career Tips, Job Prep & Certification