Data analytics referred to the collection, transformation, summarisation and organisation of data in order to draw conclusions, makes predictions, and drive informed decision making. We curated the program which make sure to touch all the corners of the Industry’s desires.

​

Curriculums :

 

• Understanding Basic - Data Analysis in Excel + Presentation. Approaching open-ended real-world problems using data as a lever to draw actionable insights.

• Fundamentals Of Python - Understanding Data Science, Data Visualisation In Python, Data Analysis Using SQL, Advanced SQL And Best Practices, Data Analysis In Excel, and Analytics Problem Solving.

• Understanding Exploratory Data Analysis (EDA) - Introduction to Git and Github, Inferential Statistics, Hypothesis Testing, Lending Club Case Study to Determine Customer Characteristics.

• Structured Query Language (SQL) - Database Design and Introduction to MySQL, Advanced SQL Including (Stacks, Queues, Trees, Complexity, OLAP and OLTP, RDBMS and SQL Querying). Data Modelling and SQL Assignment.

• Tableau - Data Analysis, Types of Charts and Visualisations on Tableau Interface and Dashboard Making. Get ready to master the fundamentals required for Tableau Certification.

• Machine Learning - Inferential Statistics, Hypothesis Testing, Linear Regression, Logistic Regression, Unsupervised Learning Clustering, Decision Trees, Model Selection, Time Series Forecasting (Basic Components of Time Series Forecasting, Simple Average and Naive Forecast Methods and Smoothing Techniques).

• Amazon Web Services (AWS) - Understand Data Storage solutions, Analysis, modelling and visualization techniques through AWS Glacier, Glue, Athena, Redshift and more to be capable of giving AWS certification examination.

• Capstone Project - capstone project that can give you an understanding of data sourcing, cleaning, analysis and modelling techniques. Work on the Storytelling principles of your capstone.