Data Analytics Essentials (DAE) with Python

Data Analytics Essentials (DAE) with Python


The worldwide revenue for Big Data and Data Analytics is expected to grow exponentially. Almost all industries and verticals are expected to increase their own spending and investment in Data technologies and solutions, helping to fuel growth of data technologies.

Together with an increase interest and investment in AI, new tools for collecting and analysing data and new enterprise roles and responsibilities will emerge presenting IT professionals and individuals planning to pursue a career in Big Data and Data Analytics with tremendous career opportunities. This can never be a better time to acquire the necessary skills and gain proficiency in Data Analytics and Data Science.






Data Analytics Essentials (DAE) using Python x ChatGPT

$928.00$1,160.00

Course Fee is in Singapore Dollars (SGD) . Apply for Financial Aid

Have a question about the course, enrolment or require Financial Aid?
Chat with an Education Officer or Email: hello@casugol.com

Select Your Preferred Batch Below:
Convert time your local time zone

Description

  • Duration: 4 Day / 32 Hours

  • Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination

  • Who Should Attend: Data Analyst, Data Scientists, Business Analysts, Researchers and Academics, IT Professionals, Business Owners, Key-Decision Makers, and Anyone interested in Business Analytics / Data Analytics

Course Objective

Acquire essential knowledge and skills in the core principles and concepts of data analytics, including data types, data structures, data cleaning, and exploratory data analysis.

Learn how to use Python Programming, its extensive libraries, and ChatGPT for data analytics. Gain skills in creating insightful visualizations using Python libraries like Matplotlib and Seaborn to effectively communicate data patterns, trends, and relationships.

Pre-Requisite

No pre-requisite. Data Analytics Essentials (DAE) is suitable for anyone who is interested in Data Analytics and does not have any prior technological experience

Examination

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

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

Course Outline


Module 1
Introduction to Data Analytics

Data Analytics is expected to revolutionize all industries and verticals. In this module, participants will engage in extensive discussion on what is data analytics, its key components and impact on businesses.

Topics Covered

  • 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

Learn how to craft a data strategy that meets your organization need. Participants will acquire essential knowledge on how to design a data strategy based on their organization's specific needs. Participants will also have the opportunity to learn about the different techniques in data analytics and its application.

Topics Covered

  • 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

Python Programming, a preferred programming language in the digital economy. It is also widely used by data scientist and data analysts. One of the key reason is due to its ease of application and its comprehensive libraries. In this module, participants will have the chance to develop a simple application using Python Programming.

Topics Covered

  • 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
  • Introduction to Classes in Python
  • What is Object-Oriented Programming (OOP)

Module 4
Working with Key Modules / Packages

Participants will be introduced to key modules and packages used for Data Analytics by going through a simple data analytics process. Participants can experience first-hand how to read data, perform simple exploratory data analytics, conduct a simple data pre-processing, and create a simple plot to analyse a data.

Topics Covered

  • 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

Data Mining and Data Pre-processing plays an important role in the success of all data analytics project. In this module, participants will dive deep into the various Data pre-processing and data-mining techniques.

Topics Covered

  • 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

Understanding the various different techniques and its application enhances a Data Analyst ability to better understand and capture hidden insights from vast volume of data. This module aimed to provide participants with the first-hand experience on how various techniques are being utilized.

Topics Covered

  • Different Data Mining Techniques
  • Data Classification
  • Clustering Analysis
  • Regression Analysis
  • Association Rules
  • Outliers Analysis
  • Sequential Patterns
  • Predictive Analytics

Module 7
Deep Dive into Data Visualization with Python

Acquire essential knowledge on the importance of data visualization and how different visual elements can be utilized to enhance and better understand trends, outliers, and patterns in data.

Topics Covered

  • 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

Matplotlib and Seaborn libraries are two of the most widely utilized libraries in Python for visualization. Learn the key components and parameters of Matplotlib and Seaborn to enhance your visualization.

Topics Covered

  • 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

Automate your data analytics model building by leveraging on the prowess of Machine learning methods. In this module, participants will learn how to expand beyond the conventional data analytics process to leverage on Machine Learning methods to analyse and predict trends.

Topics Covered

  • 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 extensive hands-on exercises / practical, rigorous usage of real-time case studies, hands-on exercises and group discussion

Some Reasons Why Learners Choose CASUGOL

  • International Certification Body

  • Presence in 38 Countries

  • Developed by Industry Experts

  • More than 42,000 professionals passed through our education system

  • Flexible program design for all individuals

  • Learn from internationally renowned leading industry experts, academics, and researchers

  • Support for participants during and after training

  • Enhance competency of workforce and improve individual career prospect

  • Customization of programs for specific industry, organization, government agencies, statutory boards

  • Learn in a highly interactive, supportive and encouraging environment

  • Regular invitation to attend courses / workshops / seminars / events at complimentary rate


Individual or Self-Sponsored Learners

  • STEP ONE: Select your preferred batch / category above

  • STEP TWO: Click on Add to Cart

  • STEP THREE: In the pop-up page, click on View Cart

  • STEP FOUR: In the Cart page, click on Proceed to Checkout

  • STEP FIVE: In the Checkout page, complete the Billing Details and click on Place Order


For corporate-sponsored participants, batch registration, or any questions on the course
Chat with an Education Officer

Certificate Verification

All certificates issued by CASUGOL are to individuals who have successfully completed CASUGOL Certification Programs / Executive Workshops and have fulfilled all requirements by demonstrating proficiency in applying the knowledge and skills acquired.

Click below to verify certificate


CASUGOL is dedicated to making education, knowledge, and resources accessible to everyone around the world. Our Financial Aid is aimed to empower learners who may encounter financial barriers in pursuit to advance their knowledge and technical know-how.

If you are unable to cover the costs of a course, you have the opportunity to request financial aid via the link found on the course's homepage. Upon approval for financial aid, you will gain full access to all course materials and can successfully complete the course to obtain a certificate.



Have a question with regards to Financial Aid?
Chat with our Education Officer




How to Apply


To apply for financial aid:

  • Step 1: Visit the Course Page and Click on the Apply Financial Aid below the Course Fee
  • Step 2: Fill out the form and submit your application
  • Step 3: Make sure your application meets a maximum of 250 word count
  • Step 4: Wait up to 24 Hours for your application to be reviewed

Upon reviewing your application, you will receive an email notification informing you of the approval or denial status.


What Will I Receive?


If you’re approved for financial aid, you’ll receive a discount off the cost of the course. We offer financial aid to help empower learners who wouldn’t otherwise be able to afford the course fee.

In order to fairly distribute financial aid resources to the learners who need it the most, the amount of financial aid you receive may depend on the details in your application and your geographical location.


Application Status

Approved Applications

Upon approved, you will receive an email letting you know. Please follow the instructions provided in the email to begin your learning journey.

Rejected Applications

In the event that your application is declined, you will receive an email providing an explanation for the denial. If there were any issues with your initial application, you have the option to submit a new application and reapply.




Have a question with regards to Financial Aid?
Chat with our Education Officer






What You Can Expect




Technology-Based Training



Open-Source Tools



80% Hands-On Exercises / 20% Theory



Designed by Industry Leaders and Subject-Matter Experts



Progressive Learning



Highly interactive, supportive and encouraging



Be recognized as a CASUGOL Certified Professional



What Learners Say

Nandito Tan
Nandito Tan
Its very informative and detailed
Veron Vernando
Veron Vernando
Pelatihan yang menarik dalam mempelajari design thingking profesional
raja doly sirait
raja doly sirait
its a fun class and fun teaching skill from the presenter
Nico Tivano
Nico Tivano
Pengajar nya sangat menyenangkan
hamzah alfitrah
hamzah alfitrah
Frankie
Frankie
Nithish Rao Sivakumar
Nithish Rao Sivakumar
ramachandran R
ramachandran R
Madhumithra Ramesh
Madhumithra Ramesh
Got an hands on experience in digital transformation especially on new trending and revolutionary technologies like AI,ML,Cyber security, IOT, Big data analytics, etc...
ajith v
ajith v
nice experience and learned a more detailed knowledge
18 udhay babu 4304
18 udhay babu 4304
Great place to learn
Siva Ram
Siva Ram
Aathisankar V
Aathisankar V
I learnt Digital transformation course which is very iseful
Google User
Google User
PRASATH RAJARAMAN
PRASATH RAJARAMAN
Nice session and very interactive staff
SARAVANA KUMAR
SARAVANA KUMAR
Thanga Tamil Amudhan
Thanga Tamil Amudhan
Prince R
Prince R
Ashoka Ganesan
Ashoka Ganesan
Gopinath Ariputheran
Gopinath Ariputheran
HARISH P
HARISH P
The course was good and helpful
Sivakumar B
Sivakumar B
js_loader





Is the course right for me?



Let our learners share their experience with you






We want to make sure you feel great about starting your learning journey with us.
Chat with an Education Officer