Learn from Home Offer
Learn from Home Offer
DATA SCIENTIST Course Bundle - 150 Courses in 1
608+ Hours of HD Videos
Verifiable Certificate of Completion
* One Time Payment & Get Lifetime Access
What you get in this DATA SCIENTIST Course Bundle - 150 Courses in 1?
Course Completion Certificates
Mobile App Access
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|
|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 Details 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 Details 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 Details 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 Details 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 Details 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 Details 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 Details 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 TrendThe 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]
[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.
- 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.
- 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 21st 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.
- While doing this Data Science Course in Malaysia it will give immense confidence to build your model to predict/classify/perform data analysis. With carefully articulated content, this course will give a boost to one’s professional growth. Along with legacy
- , 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.
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