Data Science Course in Malaysia (128 Courses Bundle with Certification)

Learn from Home Offer

What you get in this DATA SCIENTIST Course Bundle - 150 Courses in 1?

608+ Hours

150 Courses

Course Completion Certificates

Lifetime Access

Self-paced Courses

Technical Support

Mobile App Access

Case Studies

About Data Science Course in Malaysia

Course Name	Data Science Course in Malaysia
Deal	You get access to all videos for the lifetime
Hours	608+ Video Hours
Core Coverage	You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.
Course Validity	Lifetime Access
Eligibility	Anyone serious about learning data science and wants to make a career in analytics
Pre-Requisites	Basic knowledge of data and analytics
What do you get?	Certificate of Completion for the course
Certification Type	Course Completion Certificates
Verifiable Certificates?	Yes, you get verifiable certificates for each150 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
Type of Training	Video Course – Self Paced Learning
Software Required	None
System Requirement	1 GB RAM or higher
Other Requirement	Speaker / Headphone

Data Science Course in Malaysia Curriculum

In this Data Science Course in Malaysia, careful and exhaustive measures are taken during the designing and development for anyone who wants to upscale themselves in the genre of Data Science. This course starts with the all-in-one library of machine learning in python, Scikit-learn, giving the intricate details of mathematical reasoning along with real-life scenarios for better intuition. Next in line we have the visualization in python, wherein we would dig deeper into types of visualization one can do with the data and understand the data in a representable manner. Next, we would look into how the data is stored while performing operations on them. We would have some sessions on statistics behind the machine learning algorithms. This statistics session won’t be mathematics heavy but take some intuitive turns on understanding the statistics.

We would also look into advanced data science techniques in terms of Artificial Intelligence, Video Analytics, Financial Analytics, etc. The course is not programming language-specific but will give a belly full of deep dive into all sorts of programming languages like Python, R, Tableau, SAS, Minitab. Not only this, but the Data Science Course in Malaysia also provides a chance to learn about Splunk and MATLAB to prepare oneself about the other aspects of Data science as well.

Not only this, but there are also projects at the end of each milestone to help revise the concepts learned previously, to apply them in real-life scenarios. Doing this will not only help to memorize the concepts but help to fix production/development type problems and help you assist in the future.

MODULE 1: Data Science with Python Essentials Training

Courses	No. of Hours	Certificates
Machine Learning with Python 2023	5h 19m	✔
Machine Learning with Python Case Study - Covid19 Mask Detector	2h 05m	✔
Deep Learning: Automatic Image Captioning for Social Media with Tensorflow	2h 23m	✔
Supervised Machine Learning in Python	8h 37m	✔
Predictive Analytics and Modeling with Python	8h 24m	✔
Matplotlib for Python Data Visualization - Beginners	4h 12m	✔
Matplotlib for Python Data Visualization - Intermediate	2h 53m	✔
Matplotlib for Python Data Visualization - Advanced	6h 37m	✔
Pandas with Python Tutorial	5h 47m	✔
NumPy and Pandas Python	5h 01m	✔
Pandas Python Case Study - Data Management for Retail Dataset	3h 25m	✔
Python Case Study - Sentiment Analysis	1h 06m	✔
Data Science with Python	4h 14m	✔
Artificial Intelligence with Python - Beginner Level	2h 51m	✔
Artificial Intelligence with Python - Intermediate Level	4h 36m	✔
AI Artificial Intelligence & Predictive Analysis with Python	6h 15m	✔
Video Analytics using OpenCV and Python Shells	2h 13m	✔
Machine Learning using Python	3h 26m	✔
Statistics Essentials with Python	3h 23m	✔
Project on Tensorflow - Implementing Linear Model with Python	1h 46m	✔
Project - Data Analytics with Data Exploration Case Study	5h 7m	✔
Random Forest Algorithm using Python	1h 29m	✔

MODULE 2: Data Science with R & Python Essentials Training

Courses	No. of Hours	Certificates
Seaborn Python - Beginners	2h 28m	✔
Seaborn Python - Intermediate	1h 18m	✔
Seaborn Python - Advanced	1h 56m	✔
PySpark Python - Beginners	2h 3m	✔
PySpark Python - Intermediate	2h 05m	✔
PySpark Python - Advanced	1h 14m	✔
Machine Learning Python Case Study - Diabetes Prediction	1h 03m	✔
R Studio UI and R Script Basics	4h 13m	✔
R Programming for Data Science \| A Complete Courses to Learn	5h 7m	✔
Logistic Regression & Supervised Machine Learning with R	4h 14m	✔
Decision Trees Modeling using R	1h 4m	✔
Project on ML - Churn Prediction Model using R Studio	1h 22m	✔
Financial Analytics in R - Beginners	3h 53m	✔
Financial Analytics in R - Intermediate	1h 28m	✔
Financial Analytics in R - Advanced	1h 35m	✔
R for Finance - Beginners to Beyond	2h 17m	✔
Comprehensive Course on R	3h 54m	✔
Time Series Analysis and Forecasting using R	4h 23m	✔
Project - Fraud Analytics using R	2h 34m	✔
Project - Marketing Analytics using R and Microsoft Excel	2h 9m	✔
Machine Learning with R	20h 28m	✔
Case Study - Customer Analytics using Tableau and R	2h 7m	✔
Case Study - Pricing Analytics using Tableau and R	2h 39m	✔
Business Analytics using R - Hands-on!	16h 21m	✔
Project - Market Basket Analysis in R	37m	✔
Project - Hypothesis Testing using R	3h 6m	✔
Data Visualization with R Shiny - The Fundamentals	39m	✔
Data Science with R	6h 2m	✔
R Studio Anova Techniques Course	2h 18m	✔

MODULE 3: Data Science with SAS Essentials Training

Courses	No. of Hours	Certificates
SAS Business Analytics for Beginners	10h 45m	✔
Predictive Analytics & Modeling with SAS	9h 19m	✔
Quantitative Finance with SAS	3h 29m	✔
SAS Statistics	8h 18m	✔
SAS ODS (Output Delivery System)	9h 36m	✔
SAS PROC SQL	13h 49m	✔
SAS Macros	7h 25m	✔
SAS Advanced Analytics	12h 22m	✔
SAS Graph	2h 1m	✔
SAS DS2	4h 59m	✔
SAS SQL	3h 01m	✔
SAS Practical - Macros	5h 5m	✔
SAS Advanced Programming	10h 7m	✔
SAS Categorical Data Analysis	7h 16m	✔
Certified SAS Base Programmer	12h 2m	✔
SAS Features for Starters	1h 5m	✔
SAS PROC SQL Features	1h 49m	✔

MODULE 4: Big Data & Hadoop

Courses	No. of Hours	Certificates
Big Data and Hadoop Training \| Online Hadoop Course	2h 9m	✔
Hadoop Architecture and HDFS	6h 13m	✔
MapReduce - Beginners	3h 34m	✔
MapReduce - Advanced	5h 35m	✔
Hive - Beginners	2h 47m	✔
Hive - Advanced	5h 11m	✔
PIG - Beginners	2h 1m	✔
PIG - Advanced	2h 13m	✔
NoSQL Fundamentals	2h 01m	✔
Mahout	3h 51m	✔
Apache Oozie	2h 13m	✔
Apache Storm	2h 4m	✔
Apache Spark - Beginners	1h 5m	✔
Apache Spark - Advanced	6h 14m	✔
Splunk Fundamentals	8h 33m	✔
Splunk Advanced 01 - Knowledge Objects	9h 29m	✔
Splunk Advanced 02 - Administration	39h	✔

MODULE 5: Learning from Projects & Practicals

Courses	No. of Hours	Certificates
Project on Hadoop - Sales Data Analysis	47m	✔
Project on Hadoop - Tourism Survey Analysis	53m	✔
Project on Hadoop - Faculty Data Management	35m	✔
Project on Hadoop - E-Commerce Sales Analysis	35m	✔
Project on Hadoop - Salary Analysis	49m	✔
Project on Hadoop - Health Survey Analysis using HDFS	56m	✔
Project on Hadoop - Traffic Violation Analysis	1h 25m	✔
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce	2h 33m	✔
Project on Hadoop - Case Study on Telecom Industry using HIVE	2h 2m	✔
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce	53m	✔
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop	3h 34m	✔
Project on Hadoop - Sensor Data Analysis using HIVE/PIG	5h 26m	✔
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce	3h 02m	✔
Hadoop and HDFS Fundamentals on Cloudera	1h 22m	✔
Project on Hadoop - Log Data Analysis	1h 32m	✔
SPSS 2023 - Beginners	1h 07m	✔
SPSS 2023 - Advanced	5h 22m	✔
Advanced SPSS Project: Impact of EMI on Home Loan	43m	✔
Advanced SPSS Project: Impact of Total Turnover in Equity Market	58m	✔
Advanced SPSS Project: Impact of Trade Data in Equity Market	46m	✔
SPSS GUI and Applications	1h 13m	✔
SPSS - Correlation Techniques	1h 8m	✔
Linear Regression & Supervised Learning with SPSS	3h 07m	✔
SPSS - Multiple Regression Modeling	2h 34m	✔
Logistic Regression & Supervised Learning using SPSS	2h 37m	✔
SPSS - Multinomial Regression	2h 2m	✔
SPSS GUI for Statistical Analysis	2h	✔
Tableau Desktop Training 2023	4h 21m	✔
Tableau Project-Creating Dashboard and Stories For Financial Markets	2h 08m	✔
Tableau Project - Russo-Ukraine War A Data Analytical Review	1h 02m	✔
Tableau	4h 7m	✔
BI Tools and Tableau Analytics	5h 38m	✔
Business Intelligence with Tableau	5h 43m	✔
Tableau Features Hands-on!	5h 32m	✔
Tableau Practical - Super Store Business Requirements	45m	✔
Analytics using Tableau	8h 9m	✔

MODULE 6: Minitab and MATLAB

Courses	No. of Hours	Certificates
Minitab for Beginners - 2023	1h 15m	✔
Advanced Minitab Training - 2023	4h 39m	✔
Minitab Practical - Impact of Predictors on Response	1h 36m	✔
Statistical Analysis using Minitab - Beginners to Beyond	4h 21m	✔
Minitab GUI and Descriptive Statistics	2h 43m	✔
ANOVA in Minitab	52m	✔
Correlation Techniques in Minitab	2h 18m	✔
Project on Minitab - Regression Modeling	9h 36m	✔
Minitab Predictive Modeling using Excel	55m	✔
MATLAB - Beginners	3h 9m	✔
MATLAB - Intermediate	47m	✔
MATLAB - Advanced	4h 1m	✔

MODULE 7: Database & SQL

Courses	No. of Hours	Certificates
Oracle SQL	17h 32m	✔
Oracle PLSQL	13h 2m	✔
Oracle DATABASE Admin DBA 1 Course	9h 27m	✔
Machine Learning ZERO to HERO - Hands-on with Tensorflow	13h 28m	✔
Deep Learning ZERO to HERO - Hands-on with Python	10h 8m	✔
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression	2h 07m	✔
Project on R - HR Attrition and Analytics	2h 4m	✔
Logistic Regression using SAS Stat	4h 26m	✔
Linear Regression & Supervised Learning in Python	2h 28m	✔
Logistic Regression & Supervised Machine Learning in Python	2h 6m	✔
Project on R - Card Purchase Prediction	2h 28m	✔
Develop a Movie Recommendation Engine	51m	✔
Random Forest Techniques and R - Employee Attrition Prediction	1h 6m	✔
Predictive Analytics Model for Term Deposit Investment using CART Algorithm	1h 38m	✔
Poisson Regression with SAS Stat	2h 21m	✔
Machine Learning Project using Caret in R	1h 58m	✔
Sales Forecasting using Time Series Analysis in Python	2h 13m	✔

Data Scientist Course – Certificate of Completion

What is Data Science?

Data Science is an inter-genre amalgamation of scientific methods, processes, algorithms, and systems to gather knowledge to solve a complex analytical problem. In this field, one would have a deep understanding of the data of business genre one is working and help communicate business findings to business and IT leaders to address the business problem challenge.

In today’s world, we see the recommendation of products in e-commerce sites based on one’s search result. Streaming entertainment recommends movies based on past viewing. As a part of the Data Science community, one would also guide business stakeholders with recommendations about actions for a particular trend/prediction/finding. In short, this is a renaissance job title that can bring explosive improvements to the current strategy of the organization.

Industry Growth Trend

The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.
[Source - MarketsandMarkets]

Average Salary

Average Salary$120,301 per year

The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]

Which Skills will you learn in this Course?

This Data Science Course in Malaysia will take you through an in-depth ride on all the components essentially required to become a data scientist. In the start, you would go through python in-depth and related frameworks in python. After getting hands-on confidence in python, we would move to the R programming language, which in the term is known as a must-have skill for a Data Scientist. In addition to the above extensive practice in R and Python, we would give a taste of other technologies like Tableau, SAS, Minitab, MATLAB, and Splunk. With the above flavors, it will not be surprising to see yourself as the next budding Data Scientist.

Pre-requisites

During the flow of the course, as the design is, few courses require that earlier courses are completed to move ahead. But overall there is no prerequisite for this Data Science Course in Malaysia. The entire course is self-sufficient to start building your data science career from scratch. Though understanding of programming language and basic concepts will facilitate smooth and quick learning, these are not mandatory. During the Data Science Course in Malaysia, we would have ample practice sessions to build on this. Also, a basic understanding of technologies like Minitab, MATLAB, etc. is recommended.

Target Audience

For any of our courses, the main target audience is the one who has inquisitiveness to learn more. This course is for those people who want to advance their career in the field of Data Science. This Data Science Course in Malaysia provides a boost to career irrespective of what position they are in. A college student who wants to start their career as Data Scientist will find this course immensely helpful in getting to know what’s in store for them as a Data Scientist. For an experienced person, it will enable them to get privileges during new projects in the current organizations or for interviews for different organizations.

Data Science Course Malaysia – FAQ’s

Why should you take up the Data Science course in Malaysia?

With the boom of app-based taxi-hailing services and the consulting-based industry growing rapidly in Malaysia, this is the best time to learn about data science and enter the space. Across the entire globe, data science is growing exponentially, and Malaysia is the same zone as well. Organizations in Malaysia have started leveraging machine learning along with big data tools for fine-tuning their operations. Data Science is termed as the “Sexiest Job of 21^st Century” by Harvard.

What is the Data Scientist market trend in Malaysia?

The growth of Data Science has tremendously multiplied itself and is growing vigorously. With a tech-savvy market in Malaysia, people or businesses in Malaysia are looking into to bring breakthrough decision by incorporating data science into their day-to-day work. In the last few years the trend has been on exponential growth and not only in Malaysia, but across the globe as well. There are massive job openings around Data Science and are expected to grow rapidly in the coming years in Malaysia.

Sample Preview

Career Benefits

Data Science Algorithms

, this course has deep dive into newer technologies under the umbrella of Data Science. Post this course one can become a Data Scientist in their current organization, start a new project to incorporate data-driven decisions in the organization, and give confidence to single-handedly debug and solve production-level issues. Data science will be a rewarding step in your career and this Data Science Course in Malaysia will act as the all-in-one enabler for getting the target.

Reviews

Excellent

It was a well-explained course! Easy to understand and practice. Recommended for beginners.
Linked

Arjun Gaggar

Data Scientist Certification Course

The data scientist training covers t-distribution, Z statistic, and Central limit theorem with exceptional clarity. It helped me in understanding the concepts with such a depth that I would never forget them now. The examples are highly practical and apt. The parallel execution of formulas in R makes it simple to remember rather than just going through the formulae, this Data Science course explains the underlying concepts first. It is the best course on R-Statistics I have come across so far.
Linked

Abbas Singapurwala

Data Scientist Course

Business Analytics is an excellent course for beginners in both Statistics and R programming. A lot of concepts have been covered from basics. It includes descriptive analysis, regression modeling, time series forecasting. It’s good knowledge if someone does not have any background in these techniques.
Linked

Ankit Tyagi

Very good

Detailed and informative Data Scientist course. covered everything in depth. need to know basic statistics for this Data scientist course. but this will lay a solid ground to become a data analyst. with this course realized how powerful is R software and its possibilities. Loved every bit of the data scientist training and would do more courses from EduCBA
Linked

Mudassir Ahmed

Best Professional Development Platform

I have tried a lot of e-portals to have a complete set of curriculum on a specific professional course but did not find any. Thanks to EduCBA for their brilliant initiative to put details of the data scientist course and related topic in a single platform along issuing a course completion certificate……
Linked

SANJAY KUMAR KHILAR

Effective Tool for dashboard creation

This Data Science course is very informative and good for beginners. Clear, easy to understand and the instructor delivered the data scientist training in a very smooth way and covered a lot of topics. It lists the typical activities carried out in analytics and dashboard creation. Furthermore, it helps to define how to make a dashboard effectively. Simple and easily demonstrated Sales and Marketing analysis, chart, and table creation.
Linked

Patrick

Nice & Refreshing Course

This course on Hadoop and HDFS Basics was nice and refreshing. The instructor has explained all the concepts simply by providing sample examples. If you are completely new to Hadoop and need to learn basics then I recommend you to go for this Data Science course.
Linked

DATA SCIENTIST Course Bundle - 150 Courses in 1