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:
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 –
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.
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:
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.
Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst course Kuala Lumpur, including:
To succeed in the Data Analyst course in Kuala Lumpur and its certification training, learners should have a good grasp of basic mathematics.
Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics. This combined with an official certificate will put you on the path to a successful career.
This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, subqueries, and various functions to manage your SQL database for scalable growth.
Learn how to perform Data Analytics with Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn. These Data Analytics courses will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.
Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.
The next step to becoming a Data Analyst is learning R—the most in-demand open-source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organizations that are adopting the power of analytics for competitive advantage.
This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.
Simplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analyst course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers
Our Data Analytics courses are exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Analytics skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about your Data Analyst certificate on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.
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.
Data analysts play a unique role among the many data-centric jobs often found in today's businesses. A Data Analyst commonly works on collecting and interpreting data, analyzing the outcome, and reporting the results back to the relevant team. A Data Analyser also works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company.
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:
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.
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.
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.
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.
Unit 3201, Level 32, Tower B, The Vertical Corporate Towers Avenue 10, Bangsar, No.8, Jalan Kerinchi 59200 Kuala Lumpur Malaysia