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WSQ Data Analytics and Visualization with Python
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WSQ - Data Analytics and Visualization with Python

Expand your knowledge in data analytics and visualization with our WSQ-endorsed course focused on Python. Dive into key topics like data manipulation, statistical analysis, and visualization techniques using Python's powerful libraries. Through practical exercises and real-world examples, you'll learn to transform raw data into actionable insights and visual narratives that are compelling and easy to understand.

By the end of this course, you'll be adept at leveraging Python for advanced data analytics and visualization tasks. Whether you're a data scientist, business analyst, or someone interested in generating insights from data, this course will provide you with the tools and skills to make impactful, data-driven decisions.

Course Objective

Learners will be able to prepare data, perform data analysis and data visualization to gain insights into data. 

Course Learning Outcomes

After the end of this WSQ Python course, learners will be able to :

  • LO1: Prepare data for analysis
  • LO2: Transform data for analysis
  • LO3: Gain insights from data visualization
  • LO4: Perform statistical data analysis and time series analysis
  • LO5: Perform advanced data analysis to interpret results

Course Brochure

Download WSQ - Data Analytics and Visualization with Python Brochure

Skills Framework

This course follows the guideline of Research Data Analysis SSC-DAT-4013-1.1 TSC under Social Service Skills Framework

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee GST Nett Fee after Funding (Incl. GST)
Baseline MCES / SME
$750.00 $67.50 $442.50 $292.50 $67.50 $442.50 $292.50

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.


You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Please inform us if you intend to use your PSEA funding .

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2020504082)
  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.
Course Code: TGS-2020504082

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$750.00 (GST-exclusive)
$817.50 (GST-inclusive)

Course Date

* Required Fields

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topic 1: Data Preparation

  • Data Analytics with Pandas
  • Pandas DataFrame and Series
  • Import and Export Data
  • Filter and Slice Data
  • Clean Data

Topic 2: Data Transformation

  • Join Data
  • Transform Data
  • Aggregate Data

Topic 3: Data Visualization

  • Data Visualization with Matplotlib and Seaborn
  • Visualize Statistical Relationships with Scatter Plot
  • Visualize Categorical Data with Bar Plot
  • Visualize Correlation with Pair Plot and Heatmap
  • Visualize Linear Relationships with Regression

Topic 4: Data Analysis

  • Statistical Data Analysis
  • Time Series Analysis

Topic 5: Advanced Data Analytics

  • Data Piping
  • Groupby and Apply Custom Functions
  • Linear Regression

Final Assessment

  • Written Assessment - Short Answer Questions (WA-SAQ)
  • Practical Performance (PP)

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