• Next cohort Starts23rd Jul, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 Months
  • Next cohort Starts23rd Jul, 2024
  • Learning FormatOnline Bootcamp

Why Join this Program

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    IBM Advantage

    Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses.

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    Applied Learning

    Capstone and 20+ industry-relevant data analytics projects to ensure comprehensive learning

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    Data-Driven Decision Making

    Learn tools like Tableau, Excel, SQL, Python, R, PowerBI and more

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    Top-notch Data Analyst course

    Comprehensive data analytics curriculum with live online classes by industry experts

World’s #1 Online Bootcamp

Begin your journey to success

Get lifetime access to self-paced e-learning content

Corporate Training

Enterprise training for teams

Data Analyst Program Overview

This data analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

Key Features

  • Industry-recognized Data Analyst Master’s certificate from Simplilearn
  • Dedicated live sessions by faculty of industry experts
  • Masterclasses from IBM experts
  • Industry-recognized IBM certifications for IBM courses
  • Ask-Me-Anything (AMA) sessions with IBM leadership
  • Capstone from 3 domains and 20+ projects
  • Exclusive hackathons conducted by IBM
  • Lifetime access to self-paced learning content
  • Program crafted to initiate your journey as a Data Analyst

Data Analyst Program Advantage

Get certified in data analysis with this IBM program. Access masterclasses by experts, and AMAs with leadership. Earn Data Analyst and IBM certificates plus complete capstone projects. Advance your career now!

  • Master's Certificate

    Earn your Data Analyst Certificate

    • Industry-recognized certificate by Simplilearn
    • Dedicated live sessions by faculty of industry experts
    • Lifetime access to self-paced learning content
  • IBM Certificate

    Get ahead with IBM Advantage

    • Content and certificate by IBM
    • Masterclasses by IBM experts
    • Hackathons and AMA Sessions

About the Program

About the Data Analyst Master's program developed in collaboration with IBM

As per the Forrester wave report, in September 2018, IBM is the second-largest Machine Learning and Predictive Analytics solutions provider globally. This Data Analyst course in Kuala Lumpur is designed to equip students with their skills to become successful analysts and problem solvers.

IBM is one of the world's leading cloud platform companies, which has its headquarters in Armonk, Kuala Lumpur. IBM is a pioneer in technology and a leader in offering consulting services; plus, it has been awarded five Nobel Prizes, five U.S. National medals of Science, nine U.S. National Medals of Technology, 10 inductions into the U.S. Inventors Hall of Fame, and six Turing Awards.

What to expect from this data analyst course developed in collaboration with IBM?

Certificates from IBM and Simplilearn will be awarded to students after completing this Data Analyst course in Kuala Lumpur. The certificates will give evidence of your skills as a master of data analysis. Other things that you will get includes:

  • 24/7 accessibility to IBM cloud platforms that features IBM Watson and other software
  • Simplilearn's Data Analysis Master’s certificate with industry recognition

What can I expect from this Simplilearn's Data Analyst program developed in collaboration with IBM?

Once you complete your Data Analyst course in Kuala Lumpur, you’ll be given a course completion certificate from IBM and Simplilearn. Your certificate shows you finished your data analyst training through Simplilearn's Data Analyst course in Kuala Lumpur, and it will help launch you to achieve career success. You will also have these things with you if you complete the course –

  1. Access to IBM cloud platforms that feature IBM Watson and other software.
  2. Industry recognized Data Analyst Master’s certificate from Simplilearn.
  3. USD 1200 worth of IBM cloud credits that you can use for hands-on exposure.

What are the learning objectives?

This data analyst course in collaboration with IBM will assist you in developing your learning and skills in the analytics field. Data extracts, regression analysis, data blending, descriptive and inferential statistics, hypothesis testing, and forecasting are all skills taught in this Simplilearn's Data Analyst course in Kuala Lumpur.

If you have a basic understanding of mathematical concepts, you can easily become an expert in Data analytics with the help of this course.

What skills will you learn in this data analyst course in Kuala Lumpur?

Simplilearn's Data Analyst course in Kuala Lumpur includes the implementation of algorithms and statistical inference design for large-scale data processing and advanced topics such as natural language processing and machine learning. You will also:

  • Have a strong command over SQL concepts such as universal query tools.
  • Have an understanding of essential statistical concepts such as dispersion, regression, correlation, and measures of central tendency.
  • Learn to read and write files, save data, load files, etc., in Python.
  • Learn about statistical inference and modeling with R.
  • Have in-depth knowledge of several data visualization libraries in Python, including Folium, Seaborn, and Matplotlib.
  • Gain an understanding of DBSCAN, K-means, and hierarchical clustering.
  • Learn business analytics via Excel.
  • Become an expert in Tableau statistics.
  • Master visualization techniques, namely market basket analysis, treemap, waterfall, heat map, and Gantt chart.

What projects are included in this data analyst course in Kuala Lumpur?

This Data Analyst course in Kuala Lumpur will use current real-life, industry-based events, projects, and case studies. Projects are:

Inspect how big companies like Flipkart and Amazon make use of business intelligence tools to perform category analysis.
Title- category performance analysis
Description- In this performance evaluation program, best-performing subcategories are awarded to those that yielded a consistent profit for the last four years.
 
Have an understanding of how NSE, BSE, and NASDAQ leverage data analysis and analytics to arrive at consumable data from complex data sets.
Title- stock market
Description- This project will teach students how to import data using Yahoo data reader for companies, including Apple, Yahoo, Amazon, Microsoft, and Google. You will also learn to perform daily return analysis, using a plot to show the correlation between stocks and plotting stock trade by volume. 
 
Learn about the usage of data analysis by banks, namely Citigroup, Bank of America, HDFC, and ICICI.
Domain- Banking
Description- In this project, you will learn about analyzing the data collected from the marketing campaign run by a Portuguese banking institution. The Portuguese bank performed marketing outreach to persuade its potential customers to put their money into the bank term deposit. You need to analyse the entire campaign and the data collected from it.
 
See how healthcare industry leaders use data analysis to leverage their business.
Domain- Healthcare
Description- In this project, you will learn predictive analytics and judge the efficiency of forecasting a trend. Historical and real-time data can be compared to judge the efficiency and value of the data. The predictor and the intervention are integrated back into the same system. 
 
Find out how leading retailers such as Amazon, Target, and Walmart are using data analysis to evaluate inventory and product placement.
Domain- Retail
Description- In this project, you will learn about product and inventory optimization from the shelves to the warehouse. Participants will tend to learn the daily cycle of product optimisation from the shells to the warehouses. This will help in giving them regular insights into the occurrences that occur in the real estate sector.
 
Using data analysis, learning how Berkshire Hathaway, AIG, and AXA (insurance leaders) work on real-life insurance-based projects.
Domain- Insurance
Description- Predictive analytics has helped to increase the insurance businesses. It has helped to increase the efficiency of the businesses. According to the 2013 Insurance Predictive Modeling Survey, there has been an increase in predictive modelling throughout the industry, all people from companies that write over $1 billion in personal insurance employ predictive modelling if compared to 69% of companies with less than that amount of premium.

Who should take this Data Analyst course Kuala Lumpur?

Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst course Kuala Lumpur, including:

  • IT professionals
  • Banking and finance professionals
  • Marketing managers
  • Sales professionals
  • Supply chain network managers
  • Beginners in the data analytics domain
  • Students in UG/ PG programs

What are the prerequisites for this Data Analyst course in Kuala Lumpur?

To succeed in the Data Analyst course in Kuala Lumpur and its certification training, learners should have a good grasp of basic mathematics.

Why become a Data Analyst?

Becoming a data analyst has many benefits. The World Economic Forum has also predicted that data analysts will be one of the leading jobs by 2022. It is commonly accepted today that data is abundant, and every bit of it can improve a business or a nation. 2.5 quintillion bytes of data are created every single day. All these facts altogether provide evidence of ever-increasing job and career advancement opportunities in the analytical field.

Data and analytics jobs will increase by 15% to 2.72 million jobs by 2020, according to a recent IBM report. Insurance, information technology, and finance will see the most significant demand for data analysts. Glassdoor sales that a data analyst bagged an average pay of $67377 in 2019.

What are the job opportunities upon completing this Data Analyst course in Kuala Lumpur?

Upon finishing the Data Analyst course in Kuala Lumpur, professionals will have the knowledge and talent to earn a dream job as a respected data analyst. Various job titles are:

  • Analytics Manager or lead
  • Data Analyst
  • Business Intelligence Analyst
  • Business Intelligence Engineer 
  • Business Analyst/Senior Business Analyst
  • Various managerial roles

Data Analyst Certification Learning Path

Accelerate your career trajectory with our extensive data analyst course curriculum. Delve into foundational statistics, master data analysis with Python and R, navigate databases using SQL, and harness the power of visualization with Tableau and Power BI.

Learning Path

Electives:
    • Aligned with PL-300: Microsoft Power BI Data Analyst certification
    • Learn Power BI Desktop layouts, BI reports, dashboards, and more
    • Learn to experiment, refine, prepare, and present data with ease
    • Get access to practice tests to ace the PL-300 exam
    • Learn through projects and labs to gain expertise in visualization

  • Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.

8+ Skills Covered

  • Data Analytics
  • Statistical Analysis using Excel
  • Data Analysis using Python and R
  • Data Visualization Tableau and Power BI
  • Linear and logistic regression modules
  • Clustering using KMeans
  • Supervised Learning
  • Unsupervised Learning

9+ Tools Covered

Microsoft ExcelNumPypandasSciPypower bipythonRtableauMySQLFSD

Industry Projects

  • Project 1

    APP RATING RECOMMENDATIONS

    The Google Play Store team launches visibility booster for promising apps - displayed higher in recommendations. Build model to predict app ratings with provided app data.

  • Project 2

    COMCAST TELECOM CUSTOMER COMPLAINTS

    Comcast promises better customer service but continues falling short, despite repeated vows to improve. Leverage database of customer complaints to finally boost satisfaction.

  • Project 3

    ECOMMERCE SALES DASHBOARD

    E-commerce company seeks sales dashboard to analyze product categories, ease selection, and boost purchases. Help users review info on products they're considering.

  • Project 4

    COMPARATIVE STUDY OF COUNTRIES

    Create a dashboard to compare different countries on various parameters using the sample insurance data set and world development indicators data set.

  • Project 5

    SALES PERFORMANCE ANALYSIS

    Build dashboard showing monthly sales by segment and category, flagging those meeting/exceeding/missing targets - enabling clients to easily identify areas needing attention.

  • Project 6

    ANALYSIS OF SALES REPORT OF A CLOTHES MANUFACTURING OUTLET

    Fashion retailer seeks to expand product line. Aims to grasp market trends, automate product attributes, predict sales, understand sales drivers, and standardize ratings with data.

  • Project 7

    COLLEGE ADMISSION

    Each year, US colleges receive thousands of applications from international students. To streamline the process, the education department must analyze factors affecting admission.

  • Project 8

    IDENTIFYING AND RECOMMENDING THE BEST RESTAURANTS

    Upgrading B2C portal with smart automation. Forming matrices for top-notch eateries and suggestions. Analysis-based reports and visual dashboards for sharing insights.

  • Project 9

    PREDICTING LOAN DEFAULTERS

    High vehicle loan defaults cause losses, leading to stricter underwriting. Need a better risk model. Study to identify default factors and predict defaults.

  • Project 10

    EXAMINING FACTORS RESPONSIBLE FOR HEART ATTACKS

    Global heart disease deaths are high. We need a system to predict heart attacks. Study data on cardiovascular health, identify key factors and create a predictive model.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Join the Data Analytics industry

Data Science and Analytics jobs are projected to see growth by 31% in the upcoming decade. The data analytics market is estimated to reach $24.63 Bn in 2021 and is projected to grow at a compound annual growth rate of 25 per cent from 2021 to 2030.

Job Icon11.5 M

Expected New Jobs for Data Science and Analytics

Source: Analytics Insight
Job Icon31%

Annual Job Growth by 2030

Source: 365 Data Science
Job Icon$ 62K-121K

Average Annual Salary

Source: Glassdoor

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
     course learners from Amazon, Kuala Lumpur
     course learners from Ernst & Young, Kuala Lumpur
     course learners from Fidelity Investments, Kuala Lumpur
     course learners from Johnson and Johnson, Kuala Lumpur
     course learners from Vodafone, Kuala Lumpur
     course learners from Broadcom, Kuala Lumpur
     course learners from Accenture, Kuala Lumpur
     course learners from Nomura Holdings, Kuala Lumpur
     course learners from Ericsson, Kuala Lumpur
     course learners from Infosys, Kuala Lumpur
     course learners from Nvidia, Kuala Lumpur
     course learners from Tata Consultancy Services, Kuala Lumpur

Learner Reviews

Financing

The admission fee for this program is $ 1,299

Pay in Installments

You can pay monthly installments for Programs using Splitit payment option with 0% interest and no hidden fee.

Splitit

Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 1,299

Data Analyst Training FAQs

  • How do I become a Data Analyst in Malaysia?

    This Data Analytics certification course in Kuala Lumpur, Malaysia developed in collaboration with IBM will give you sufficient insights into data analytics tools and methodologies to excel in your next role as a Data Analyst. You will earn an industry-recognized certification from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The Data Analytics online course will train you on statistics essentials, SQL basics, data science, and data visualization using R and Python, Business Analytics with Excel, Power BI, and data visualization with Tableau Desktop 10.

  • What can I expect from this Simplilearn Data Analytics courses developed in collaboration with IBM?

    Upon completion of this Data Analytics course in Malaysia, you will receive the certificates from IBM and Simplilearn for courses in the learning path. These certificates will testify to your skills as an expert in Data Analysis. You will also receive the following:

    • Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM* and Simplilearn upon successful completion of the program
    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • What is the salary of a Data Science Analyst in Kuala Lumpur?

    The average salary of a Data Analyst in Kuala Lumpur is $3400 per month. The package for each individual varies according to their skills, training, and experience. To earn more and gain exposure, one can undergo a Data Analyst Masters Certification in Kuala Lumpur.

  • What are the major companies hiring for Data Science Analysts in Kuala Lumpur?

    With the increased usage of smartphones in today's world, the volume of virtual data is intensifying at a brisk rate. Therefore, Data Science Analysts are the need of the hour. Some major companies recruiting for Data Science Analysts in Kuala Lumpur are CPR Vision Management, Weblab, Aleph Labs, Capgemini, Shopee, JP Morgan Chase Bank, and others. The job opportunities are plenty for individuals who have completed training in the Data Analyst Masters Certification in Kuala Lumpur.

  • What are the major industries in Kuala Lumpur?

    The global rank of Malaysia's economy is 38th, and the workers are the major contributors as they are more productive due to enhanced education & skills.Major industries in Kuala Lumpur include Electronics, Automotive, Semiconductor, Pharmaceuticals, Medical Equipment, and telecommunication products. These flourishing industries are recruiting candidates who have undergone a Data Analyst Masters Certification in Kuala Lumpur.

  • How to Become a Data Science Analyst in Kuala Lumpur?

    With the modern developments and ever-increasing move towards technological intertwinement, the role of Data Science Analysts has skyrocketed. A Data Analyst Masters Certification in Kuala Lumpur will help you gain a better insight into Data Analysis and, thus, more job opportunities. Here are some steps for you to become a Data Science Analyst in Kuala Lumpur:

    • Make a plan for learning the fundamentals of Data Analysis.
    • Build your technical skills in statistics, R Programming, Python programming language, SQL, and Data Visualization.
    • Work on projects with real-world settings.
    • Formulate a portfolio of your work.
    • Get a certification or training in a Data Analyst Course.

  • How to Find Data Science Analyst Courses in Kuala Lumpur?

    Since Data Science Analysts are in demand and the job opportunities are limited, one should undergo a special Data Analysis course to stand out. Many programs are virtual as well as give hands-on training to learn better. There are numerous courses available in the market, but you should know what caters to your requirement. With a good Data Analyst Masters Certification in Kuala Lumpur, your chances of getting hired improve.

    Here are a few tips for finding the right course:

    • Research thoroughly on the internet about courses and certifications.
    • Make a comparison among the best certification courses and choose the one that suits you. Narrow down the list based on reviews and do take advice from the people or experts involved in this field of work
    • Do a detailed background check on institute reputation, institute management, educational modules, and faculty.
    • Connect with the people who have been in this field and have in-depth knowledge of the subject.
    • Get your queries answered by experts. Consider the fee you can afford.

  • What is the job market for data analysts?

    Data analysis is a rapidly growing field, and the demand for data analysts is increasing in many industries. Here are a few placement trends for data analysts:

    • Increasing demand: The amount of data being generated is increasing at a rapid rate, and organizations are looking for ways to extract insights from that data. As a result, the demand for data analysts is increasing in finance, healthcare, retail, and manufacturing industries, to name a few.
    • The growing use of data analytics in different sectors: Data analysis is becoming increasingly important in various sectors, such as healthcare, finance, manufacturing, retail, and technology. The increasing use of data analytics in various sectors is creating new opportunities for data analysts.
    • Remote work: With the COVID-19 pandemic, remote work has become more prevalent and many companies are now looking for data analysts who can work remotely.
    • Use of machine learning and artificial intelligence: Data analysts are increasingly expected to use machine learning and AI to extract insights from data. This is creating new opportunities for data analysts with experience in these technologies.
    • Interdisciplinary skills: Data analysts are increasingly expected to have interdisciplinary skills, such as data visualization and business acumen.

Data Analyst Course in Kuala Lumpur, Malaysia

Being Malaysia’s capital city, Kuala Lumpur boasts blazing skyscrapers, colonial architecture, and a myriad of natural attractions. Located in the west-central Peninsular region, it has an area of around 94 Square miles. The climate is mostly equatorial, with high temperatures and varying humidity. Kuala Lumpur is informally called KL, and its citizens are referred to as Lites. Being home to around 1.8 million people, it is the largest city in Malaysia.

The city's population is around 1,790,000 as of 2018 data. The GDP amounts to $59,831 million, and the per capita income is $31,720. As per 2019 statistics, its economy is the 27th most competitive economy around the world. The city's service-based economy relies heavily on tourism. The city is home to many prominent international hotel chains. With 8.9 million visitors per year, Kuala Lumpur is the world's sixth most visited city. The city's cultural diversity, moderate expenses, and wide gastronomic and shopping variety contribute to tourism.

Kuala Lumpur is the city of Petronas Twin Towers, modern mosques, and time-honored temples. Kuala Lumpur is a cosmopolitan metropolis with a strong religious influence, plenty of high-end shopping possibilities, and fascinating things to do and see.

Here is a list of tourist attractions in Kuala Lumpur:

The Thaipusam celebration, which involves a procession that marches to the Batu Caves, another well-known tourist destination, is one of the many festivals to enjoy in Kuala Lumpur because of its cultural richness.

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.