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Data Analytics Essentials (DAE) Using Python x ChatGPT - Self-paced Learning

Online Training by  CASUGOL
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Online / Training

Details

  • Duration: 3 Days / 24 Hours
  • Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
 Course Objective

Acquire the essential knowledge and technical skills on how data analytics can be used by organizations to enhance decision making and uncover hidden data insights.

Learn the core components of Data Analytics, Data Preprocessing and Cleaning, Data Mining, Data Warehousing and Visualization using Python Programming.

Examination

Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Artificial IntelligenceMachine Learning, and Python Programming based on the syllabus covered

Participants are expected to score a minimum of 70% to pass the examination

Outline

MODULE 1 - INTRODUCTION TO DATA ANALYTICS

  • Data Analytics Overview
  • Concepts of Data Analytics
  • Importance and Advantages of Data Analytics
  • Developing / Application of Data Analytics Strategies
  • Data Analytics Maturity Model
  • Understanding Descriptive, Predictive and Prescriptive Analytics

MODULE 2 - DIFFERENT TYPES OF ANALYTICS AND APPLICATION
 
  • Different Application of Analytics Method
  • Concepts of Text Analytics and Web Analytics
  • Data / information architecture
  • ETL Architecture
  • What is a Data Warehouse
  • Business Intelligence vs Data Analytics
  • Application of Analytics in an Organisation

MODULE 3 - DEEP DIVE INTO PYTHON PROGRAMMING

  • Introduction to Python Programming
  • Setting up Python IDE and Programming Environment
  • Understanding the Structure of Python Programming
  • Python Variables: Integer, Floats, Strings
  • Using of List vs. Dictionary
  • Operators and Loops: If-Else, For, While, Break, Continue
  • Types of Functions in Python
  • Introduction to Built-In Functions in Python

MODULE 4 - WORKING WITH KEY MODULES / PACKAGES IN PYTHON FOR DATA ANALYTICS
 
  • Understanding Modules in Python
  • Working with NumPy Module
  • Using Python Pandas Module
  • Data Pre-processing, Data Cleaning, and Data Engineering
  • Introduction to MatPlotLib in Python
  • Data Visualization using Python Programming

MODULE 5 - DATA MINING PROCESSES FOR DATA ANALYTICS
 
  • Fundamentals of Data Mining
  • Objectives of Data Mining
  • Key Aspects of Data Mining
  • Concepts of Knowledge Discovery in Databases (KDD)
  • Models in Data Mining
  • Data Mining Model vs Statistical Model
  • Data Mining Processes

MODULE 6 - DATA MINING TECHNIQUES
 
  • Different Data Mining Techniques
  • Data Classification
  • Clustering Analysis
  • Regression Analysis
  • Association Rules
  • Outliers Analysis
  • Sequential Patterns
  • Predictive Analytics

MODULE 7 - DEEP DIVE INTO VISUALIZATION WITH PYTHON
 
  • Data Visualization and Data Exploration
  • Comparison Plots (Line Chart, Bar Chart, Radar Chart)
  • Relation Plots (Scatter Plot, Bubble Plot, Correlogram, Heatmap)
  • Composition Plots (Pie Chart, Stacked Bar Chart, Stacked Area Chart)
  • Distribution Plots (Histogram, Density Plot, Box Plot, Violin Plot)
  • Geo Plots (Dot Map, Choropleth Map, Connection Map)
  • Enhancement of Visualization

MODULE 8 - MATPLOTLIB AND SEABORN LIBRARIES IN PYTHON FOR VISUALIZATION
 
  • Deep Dive into Matplotlib in Python
  • Essential Matplotlib Components for Plotting
  • Basic Plots, Layouts, Images, and Mathematical Expressions using Matplotlib
  • Introduction to Seaborn in Python
  • Kernel Density Estimation, Bivariate Distribution, Pairwise Relationships
  • Multi-plots, Regression Plots, Squarify, and Geospatial Plotting using Seaborn

MODULE 9 - UNDERSTANDING MACHINE LEARNING
  • Statistical Learning vs. Machine Learning
  • Iteration and Evaluation
  • Supervised, Unsupervised, and Reinforcement Learning
  • Different Phases of Predictive Modelling (Data Pre-processing, Sampling, Model Building, Validating)

Speaker/s

Dwayne Ong is the Founder and Chief Executive Officer (CEO) of CASUGOL. He is a Digital Transformation Advisor and Corporate Trainer with an extensive experience in Digital Transformation (DX), Digital Strategies, Artificial Intelligence, Data Science, and Business Development. Under his leadership, CASUGOL has emerged on the international stage now having programs and courses worldwide. Dwayne Ong currently serves as the Chairperson of CASUGOL International Advisory Committee (IAC) of renowned industry leaders, academics, and subject matter experts worldwide.
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“The duty of helping one’s self in the highest sense involves helping of one’s neighbours” – Samuel Smiles

Based in Singapore, CASUGOL is an international certification body offering a wide-range of professional training and certification programs designed for all industries and verticals.

Participants attending our programs will develop the skills and knowledge in their chosen area of professional, personal or academic interest. Programs are constantly reviewed by educators who are industry experts in their chosen field to ensure that they remain current, relevant and consistently high quality.

CASUGOL strives to be a contemporary international neighbourhood where individuals gather to learn, be inspired, share ideas, knowledge, and resources to acquire all that necessary to pursue and advance in a career of their passion. Training and certification programs are also being offered in Malaysia, India, Philippines, Singapore, Vietnam, Australia, Nigeria, South Africa, and Uganda through global Certified Training Partner (CTP) network.

Empowering people to be their best by making education, knowledge, and resources accessible has always been our commitment. With programs that cover a diverse range of interests, participants can certainly learn update their knowledge, gain new skills, or unleash their creativity. ...

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