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Professional Certificate in
Data Science

Accelerate expertise in utilising data to create effective business solutions

Course Overview

The open secret in the world we live in, is that it is built on our data. Data is used to make predictions and drive decision making. Learn to convert raw data into meaningful insights!

Duration: 13 weeks

Intake: November 2021

Mode: Online, Part-time

Award: UTMSPACE/UTM

Why do you need Data Science?

It’s no secret that data-driven companies are at the forefront of the industry. The ability to analyse and interpret data enables companies to make informed decisions to accelerate growth. Data is at the heart of strategic decision-making and better design. companies must choose to use it, or lose out.

Who Will Benefit?

Who Will Benefit?

Working Professionals

Fresh
Graduates

Entrepreneurs

Individuals Looking to Pivot Careers

Working Professionals

Fresh Graduates

Entrepreneurs

Individuals Looking to
Pivot Careers

What Will You Learn?

In this course, trainees will learn to analyse big data and make data-driven predictions through statistical and machine learning models. You will become proficient in retrieving, processing, visualising, and applying data effectively to make predictions and drive decision making. Trainees will be equipped with the ability to proficiently use Data Science platforms such as Python, Alteryx and Tableau to rapidly generate actionable data insights for better decision making.
  • After completing this program, trainees will be able to:
  • Apply python programming for basic data cleansing and preparation.
  • Utilise appropriate techniques for data investigation and predictive analytics.
  • Design information dashboard using data visualization tools.
  • Analyse social media data to generate meaningful insights.

Topics

Python Fundamental for Data Science

1. Built-in data structures, functions and files
2. NumPy Basics and pandas for data cleaning and preparation
3. Statistics and data visualization

Predictive Analytics in Data Science

1. Data Investigations
2. Predictive Modeling
3. Time Series Forecasting
4. Predictive Grouping

Data Literacy and Visualization

1. Introduction to Data Literacy
2. Exploring Variables and Field Types
3. Exploring Aggregation and Granularity
4. Understanding Distributions
5. Building Dashboard and Stories

Web & Social Media Analytics

1. Introduction to web scraping
2. Scraping data from internet and social media
3. Processing data from internet and social media
4. Analyzing data from internet and social media

Next Steps?

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Speak to our Program Manager

Find out more of our Customised Training Progams

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Take you first step towards becoming a digital talent

Contact Our Training Consultants

Find out more of our Customised Training Progams

Faralynne
Aiman2

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