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
- Perform data cleansing on numerical and categorical data using Pandas, Scikit-Learn, Jupyter Notebook and other supporting tools.
- Learn Machine Learning algorithms that give the most accurate and reliable model 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
10 Lessons
00:00:00 Hours
AIP - Module 0 : Program Overview
1 Lessons
00:00:00 Hours
- AIP - Module 0 : Program Overview
AIP - Module 1 : Introduction and Setup
1 Lessons
00:00:00 Hours
- AIP - Module 1 : Introduction and Setup
AIP - Module 2 : Python Data Structures
1 Lessons
00:00:00 Hours
- AIP - Module 2 : Python Data Structures
AIP - Module 3 : Python Function
1 Lessons
00:00:00 Hours
- AIP - Module 3 : Python Function
AIP - Module 4 : Data Manipulation and Visualization
1 Lessons
00:00:00 Hours
- AIP - Module 4 : Data Manipulation and Visualization
AIP - Module 5 : Machine Learning Predictive Modelling
1 Lessons
00:00:00 Hours
- AIP - Module 5 : Machine Learning Predictive Modelling
AIP - Module 6 : Unsupervised Learning with kMeans Clustering
1 Lessons
00:00:00 Hours
- AIP - Module 6 : Unsupervised Learning with kMeans Clustering
AIP - Module 7 : Machine Learning Methods
1 Lessons
00:00:00 Hours
- AIP - Module 7 : Machine Learning Methods
Evaluation
1 Lessons
00:00:00 Hours
- Evaluation
Mini Project
1 Lessons
00:00:00 Hours
- MiniProject
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
+ View more
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.
+ View more
Other related courses
About the instructor
- 2 Reviews
- 2 Students
- 4 Courses
Student feedback
Reviews
-
Tue, 12-Sep-2023Batrisya AhziriHappy learning
Write a public review