What will i learn?
- Obtain skills in setting up Python environment, installing key packages and creating directory paths.
- Learn Python programming skills for handling data structures - lists, tuples, sets and dictionaries.
- Perform analytics tasks using Python function, anonymous blocks and class.
- Familiarize with statistical principles and tests in measuring the performance of prediction model.
- Extract Big Data from original sources into Python environment. Transform data by cleansing and preparing it for model training
- Load clean Big Data for inspection and used accurate algorithms and clustering for prediction and insight extraction
- Experience extensive parameter optimization to improve model accuracy
- Create visualization charts to unravel strategic information and insights from high quality data.
- Use popular Python tools - Matplotlib, Seaborn and Plotly to produces static and responsive charts
- Extract insights from accurate model, feature importance and local interpretation of sample prediction.
Curriculum for this course
13 Lessons
00:00:00 Hours
BDA Module 0 : Program Overview
1 Lessons
00:00:00 Hours
- BDA Module 0 : Program Overview
BDA Module 1 : Introduction and Setup
2 Lessons
00:00:00 Hours
- BDA Module 1 : Introduction and Setup
- Quiz Module 1 00:00:00
BDA Module 2 : Python For Data Analytics
2 Lessons
00:00:00 Hours
- BDA Module 2 : Python For Data Analytics
- Quiz Module 2 00:00:00
BDA Module 3 : Big Data ETL Using Python
2 Lessons
00:00:00 Hours
- BDA Module 3 : Big Data ETL Using Python
- Quiz Module 3 00:00:00
BDA Module 4.1 : Credit card fraud dataset - Parquet format with Pyspark ML
2 Lessons
00:00:00 Hours
- BDA Module 4.1 : Credit card fraud dataset - Parquet format with Pyspark ML
- Quiz Module 4 00:00:00
BDA Module 4.2 : Credit card fraud dataset - Feather format with Dask ML
2 Lessons
00:00:00 Hours
- BDA Module 4.2 : Credit card fraud dataset - Feather format with Dask ML
- Quiz Module 4 00:00:00
Mini Project
1 Lessons
00:00:00 Hours
- Mini Project
Evaluation
1 Lessons
00:00:00 Hours
- Evaluation
Requirements
- Prerequisites: Basic Statistics, Basic Programming
- Technical Requirements: OS = Window 10 (64bit)
- Technical Requirements: OS = RAM (2G or above)
- Technical Requirements: OS = RAM = Internet Connection
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Description
PROGRAM
WHY DATA ANALYTICS SKILL
ESSENTIAL FOR BUSINESS
- The power of computing and cloud services enable most organizations to produce vast amount of data.
- Managers simply do not know how they can turn data into strategic information that help make key business decisions.
- Most business data can be modelled and converted into information and as a result, be able to provide actionable insights.
Synopsis
Insight from good visualization is the best means to grow and transform business. Data visualization is becoming more critical in communicating business strategy from complex datasets. In this program, participants will experience data analysis and visualization using real and illustrative datasets.
This course introduces participants with Essential Data Analytics Skill to visualize to make decision on problem solving. They are expose to essential knowledge, tools, strategic datasets, and projects to create data-driven values. In addition, project management skills focusing on the essence good project methodology from leading institutions including’s collections of leading practices will also be presented.
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