DATA ANALYTICS AND CREATING INTERACTIVE DASHBOARDS USING PYTHON-P200504JEW

DATA ANALYTICS AND CREATING INTERACTIVE DASHBOARDS USING PYTHON-P200504JEW

Funded
Course Duration
16.0 hr(s)
Mode of Assessment

Participants will be required to complete written and practical assessment.

Who Should Attend

This course is intended for but not limited to the following job roles:

  • Associate Data Analyst
  • Data Analyst
  • Data Officer
  • Associate Data Engineer
  • Data Engineer
  • Associate Data Scientist
  • Data Scientist
  • Business Analyst
  • Data Team Leader

NTUC LearningHub Course Code: IBFIT18

IBF Programme Code: P200504JEW

Understanding and analyzing data is one of the key skills required in the industry today. This course focuses on the various aspects of data analytics using Python. Participants will be taught to use and be taken through the key libraries for data ingestion and manipulation, exploratory data analysis, model building and data visualization as well as the basic statistics knowledge required to understand the concepts in the latter courses.

Course Schedule

Next available schedule

Upon completing this course, participants will be able to:

  • Learn how to get data from external sources into the Python environment and manipulate and analyse data.
  • Use statistical algorithms and methods to analyse data as part of the data analytics process
  • Learn how python libraries can be leveraged to deal with data inconsistencies, issues with data and making them fit for data analytics
  • Use appropriate statistical methods and visualizations for descriptive analytics
  • Form hypothesis and do predictive analytics
  • Learn the basics of how supervised machine learning models work and how evaluation and optimization can be carried out
  • Understand basic metric and KPIs (Key Performance Indicators) of different business cases
  • Plot advanced interactive visualizations for data analysis to gain insights from data.

Pre-requisites

  • Knowledge, Skills & Experience
    • This course requires a basic programming knowledge of Python.
    • Participants who do not have basic Python knowledge are encouraged to take up Basics of Python prior to this course.
  • Hardware & Software

Both Windows and MAC users can attend. This course will be conducted as a Virtual Live Class (VLC) via Zoom platform. Participants must have a laptop or a desktop with “Zoom Client for Meetings” installed. This can be downloaded from https://zoom.us/download

Minimum Specs

Recommended Specs

Others

  • Internet Connection: Wired or Wireless broadband (min 10 mbps)
  • Speakers and Microphone: built-in or USB plug-in or wireless Bluetooth
  • Webcam: built-in or USB plug-in

Software

  • Nil

Course Outline

MODULE 1: Understanding Data

Introduction to python packages for data manipulation

Importing and exporting data

Importing datasets and understanding data

Basics of analyzing the data

MODULE 2: Data Wrangling

Dealing with data issues and preparation in Python

Data Formatting and conversions in Python

Data Wrangling

Working with Pandas

MODULE 3: Exploratory Data Analysis

Performing descriptive statistics with Python

Correlations, Scatter-plots and charts with matplotlib in Python

Understanding data analysis with respect to various business scenarios

MODULE 4: Model Development for Analysis

Hypothesis Testing

Linear Regression and Multiple Regression Models

Model Evaluation Methods

Model selection

MODULE 5: Data Visualization

Understanding basic metrics and KPIs

Visualizations using Python (Seaborn, Folium)

Certificate Obtained and Conferred by

Candidate who successfully completed the course with 

  1. 100% attendance 
  2. Pass the assessment (Pass rate: 70%) will be awarded NTUC LearningHub Certificate of Completion.

Additional Details

Medium of Instruction: English

Trainer to Trainee Ratio is 1:20

Price

Course Fee:

For Classes commencing between 1st July 2021 to 31st Dec 2021

 

Individual Sponsored Trainee

Company Sponsored Trainee

before GST

with GST

before GST

with GST

Full Course Fee

$1000.00

$1070.00

$1000.00

$1070.00

Singapore Citizens and PRs
(after 90% funding)

$37.00

$107.00

$100.00

$170.00

Singapore Citizens aged 40 years and above
(after 90% funding)

$37.00

$107.00

$100.00

$170.00

       

For Classes commencing between 1st Jan 2022 to 30th Jun 2022

 

Individual Sponsored Trainee

Company Sponsored Trainee

before GST

with GST

before GST

with GST

Full Course Fee

$1000.00

$1070.00

$1000.00

$1070.00

Singapore Citizens and PRs
(after 80% funding)

$144.00

$214.00

$200.00

$270.00

Singapore Citizens aged 40 years and above
(after 90% funding)

$37.00

$107.00

$100.00

$170.00

Eligibility:

Individual Sponsored Trainee

Company Sponsored Trainee

  • Singapore Citizens or Singapore Permanent Residents physically based in Singapore
  • Trainee must achieve 100% attendance and pass all relevant assessments
  • NTUC LearningHub reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria
  • Singapore Citizens or Singapore Permanent Residents physically based in Singapore
  • Trainee must achieve 100% attendance and pass all relevant assessments
  • Sponsoring company must be
    • Singapore-based financial Institutions regulated by MAS (licensed or exempt from licensing by MAS)
    • FinTech firms certified by Singapore FinTech Association
  • NTUC LearningHub reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria
  • Eligible company-sponsored trainees will be able to clock CPD hours upon successful course completion

Remarks:

Individual Sponsored Trainee

Company Sponsored Trainee

SkillsFuture Credit:

  • Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding

UTAP:

  • NTUC Members can enjoy up to 50% funding (capped at $250 per year) under Union Training Assistance Programme (UTAP)

Training Allowance Grant (TAG):

  • $10/hr of eligible training and assessment hours
  • Applicable for classes commencing between 1st Jul 2021 to 20th Jun 2022 (both dates inclusive)
  • TAG will only be disbursed to the eligible sponsoring companies upon the participants’ successful completion including fulfilling 100% attendance requirement and passing the assessments.

Terms and conditions apply. NTUC LearningHub reserve the right to make changes or improvements to any of the products described in this document without prior notice.

Prices are subject to other LHUB miscellaneous fees.

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