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.
- Familiarize with Tensorflow-Keras process flow for Image Processing, Train-Test-Set Generators, Sequential Model Creation and Model Training-Validation.
- Know how to convert Tensorflow(TF) Model to TFLite Model and prepare test Samples.
- Know how to used pretrained Model for Object Detection.
- Can create visualization charts to unravel strategic information and insights from high quality data.
- Know how to use popular Python tools - Matplotlib, Seaborn and Plotly to produces static and responsive charts.
- Can extract insights from accurate model, feature importance and local interpretation of sample prediction.
Curriculum for this course
9 Lessons
00:00:00 Hours
ODAI - Module 0 : Program Overview
1 Lessons
00:00:00 Hours
- ODAI - Module 0 : Program Overview
ODAI - Module 1 : Introduction and Setup
1 Lessons
00:00:00 Hours
- ODAI - Module 1 : Introduction and Setup
ODAI - Module 2 : Neural Network
1 Lessons
00:00:00 Hours
- ODAI - Module 2 : Neural Network
ODAI - Module 3 : Tensorflow
1 Lessons
00:00:00 Hours
- ODAI - Module 3 : Tensorflow
ODAI - Module 4 : Resnet50
1 Lessons
00:00:00 Hours
- ODAI - Module 4 : Resnet50
ODAI - Module 5 : Efficientnet
1 Lessons
00:00:00 Hours
- ODAI - Module 5 : Efficientnet
ODAI - Module 6 : Mini Project
1 Lessons
00:00:00 Hours
- ODAI - Module 6 : Mini Project
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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