IT07A12: ANALYSE BUSINESS DATA AND CREATE INTERACTIVE DASHBOARDS USING PYTHON (SF) (SYNCHRONOUS E-LEARNING)
ANALYSE BUSINESS DATA AND CREATE INTERACTIVE DASHBOARDS USING PYTHON (SF) (SYNCHRONOUS E-LEARNING)
Course Duration
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
Course Overview
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
Course Objectives
- 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 Fundamentals of Python prior to this course.
- Hardware & Software
This course will be conducted as a Virtual Live Class (VLC) via Zoom platform. Participants must own a zoom account and have a laptop or a desktop with “Zoom Client for Meetings” installed. This can be downloaded from https://zoom.us/download
System Requirement |
Must Have: Please ensure that your computer or laptop meets the following requirements.
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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
- Upon meeting 75% attendance and passing the assessment, participants will be awarded with a digital Statement of Attainment (SOA), accredited by SkillsFuture Singapore. SOA will be reflected as [ICT-DIT-4006-1.1 Data Visualization].
- Certificate of completion from NTUC LearningHub
Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from NTUC LearningHub.
Additional Details
Medium of Instruction: English
Trainer:Trainee Ratio is 1:20
Mode of Delivery: Virtual Live Class (VLC) via Zoom
As this is a government subsidised programme, the entire training programme will be video recorded for audit purposes by the relevant funding agency. To ascertain their presence, Trainees / Participants are required to
- Turn on web camera to show real-time video, as opposed to using a profile picture / video (jpg/jpeg, gif or png image file) for the entirety of the training and assessment session.
- Ensure that their faces are fully visible (not just the forehead / eyebrows)
- Use their full name as per NRIC / Passport as their Screen Name on Zoo
Price
Course Fee and Government Subsidies |
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Individual Sponsored |
Company Sponsored |
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Non-SME |
SME |
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Before GST |
After GST |
Before GST |
After GST |
Before GST |
After GST |
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Full Course Fee |
$1,250.00 |
$1,362.50 |
$1,250.00 |
$1,362.50 |
$1,250.00 |
$1,362.50 |
For Singapore Citizens aged 39 years and below |
$375.00 |
$408.75 |
$375.00 |
$408.75 |
$125.00 |
$158.75 |
For Singapore Citizens aged 40 years and above |
$125.00 |
$158.75 |
$125.00 |
$158.75 |
$125.00 |
$158.75 |
Funding Eligibility Criteria:
Individual Sponsored Trainee |
Company Sponsored Trainee |
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Remarks:
Individual Sponsored Trainee |
Company Sponsored Trainee |
SkillsFuture Credit:
UTAP:
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Absentee Payroll (AP) Funding:
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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 other LHUB miscellaneous fees
Batch ID | Course Period | Course Title | Funding Available |
Duration (Hours) |
Session (Hours) |
Venue | Available Seats |
Online Payment |
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