Data Analytics Essentials Using Python x ChatGPT @ Bangkok, Thailand
Schedule
Mon Jun 17 2024 at 09:30 am to Wed Jun 19 2024 at 05:30 pm
Location
1687/1 Phahonyothin Road,Khet Chatuchak,10900,TH | Bangkok, BM
Advertisement
Learn how data analytics enhances decision-making and uncover hidden data insights. Learn the core components of Data Analytics with PythonFor more information: https://casugol.com/course/dae
International Acclaimed Certification. 5-Star Reviews
Suitable for everyone. Learn in an Interactive, Supportive, and Encouraging Environment.
- 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 Intelligence , Machine Learning , and Python Programming based on the syllabus covered
Participants are expected to score a minimum of 70% to pass the examination
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 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 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)
Data Analytics Essentials (DAE) involves immersive hands-on experiences, thorough utilization of real-world case studies, practical exercises, and collaborative group discussions.
Be Recognized as a CASUGOL Certified Professional
Add Value to your already prolific portfolio with a Certificate of Competency from CASUGOL.
Awarded upon completing and meeting all requirements of the course.
Advertisement
Where is it happening?
1687/1 Phahonyothin Road,Khet Chatuchak,10900,TH, 1686 ถนน พหลโยธิน, จตุจักร, กรุงเทพมหานคร, กรุงเทพมหานคร 10900, ประเทศไทย,Bangkok, ThailandEvent Location & Nearby Stays:
