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 Hong Kong 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, Hong Kong. IBM is a pioneer in technology and a leader in offering consulting services; plus, is the recipient of five Nobel Prizes, six Turing Awards, nine U.S. National Medals of Technology, five U.S. National medals of Science, and has 10 inductions into the U.S. Inventors Hall of Fame.
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 Hong Kong. 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 Hong Kong, 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 Hong Kong, and it will put you on the fast track to 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 included in this Data Analyst course in Hong Kong.
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 Hong Kong includes the implementation of algorithms and statistical inference design for large-scale data processing and areas such as machine learning and natural language processing. You will also:
This Data Analyst course in Hong Kong 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 via Yahoo data reader for companies, including Microsoft, Apple, Amazon, Google and Yahoo. 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.
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 convince potential customers into putting funds 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.
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 product placement and inventory decisions.
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.
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 Hong Kong, including:
To succeed in the Data Analyst course in Hong Kong and its certification training, learners should have good basic math skills.
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. Finance, insurance, and information technology are the fields that will have the most significant demand for data analysts. Glassdoor sales that a data analyst bagged an average pay of $67377 in 2019.
Upon finishing the Data Analyst course in Hong Kong, professionals will have the knowledge and talent to obtain a lucrative job as a data analyst. Various job titles are:
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 Analyst courses are exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Analysis 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.
I'm happy to share that I have completed my Master's program in Data Analysis and Business Analytics with Simplilearn. It was a fantastic learning experience, and I would like to thanks Simplilearn for letting me acquire this new skill. I'm also glad that I have come across several new connections.
I am a Data Analyst with 7 years of work experience, but I didn't have the chance to work with Statistics. So I enrolled in this course. It's a good course even for beginners. Overall, the training is very good. Thank you Simplilearn.
This Data Analytics certification courses in Hong Kong 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.
Upon completion of this Data Analytics courses in Hong Kong, 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:
A Data Analyst in Hongkong roughly earns about HK$20T per month. This pay scale eventually increases as the individual has career advancement and the probability of getting a noteworthy job increases if they have opted for a Data analyst master's certification in Hong Kong.
The leading companies looking out for Data Analysts in Hongkong city are Bloomberg, Oliver James associate, BNP Paribas, Thales Group, IBM, Lalamove, and many others. These top companies seek to hire employees who have a skillset suitable for the job and have undergone Data Analyst masters certification in Hong kong.
The major industries that play a part in the economic advancement of the city of Hongkong are mainly Financial service, tourism, trading and logistics, professional services, etc. These industries have a prominent role to play, and they also employ a lot of individuals with data analyst master’s certification in Hong kong.
Anyone who has basic skills in Data analysis can build a career in the field within 1-2 years. Consider learning a language like R or python and then pursue a more advanced course for Data analyst masters certification in Hong Kong. With a well-established network and good experience with projects, one can get a good job too.
To find a Data Science and Business Analytics Course in Hong Kong, one can initially research and list the courses that fit the individual recruitment offered by Edtech platforms. Contacting professionals in the field can help finalize the course, which provides the certification too for career advancement from an early stage itself. Pick a course like data analyst masters certification in Hong kong.
Data Analytics is a process of inspecting, cleaning, transforming and modeling data to discover useful information and support decision making to achieve business goals. There are various data analysis qualitative and quantitative methods and analytical or statistical tools used to extract the useful information and translate them into insights to make better business decisions, most of which are covered in the Data Analyst Courses.
Data Analysis is one of the major areas to explore in this digitalized world. To learn data analysis, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to enroll in a University partnered Data Analytics Program to learn data analytics from Purdue faculty. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.
This p\online Data Analyst certification course consists of the following modules:
Yes, anyone embarking on a career as Data Analyst can take these Data Analyst courses. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation in data analytics concepts.
If you have a computer science or related background and you are good at mathematics, statistics, and dealing with data, then chances are a Data Analyst role will be a great fit for you. With accelerating digital transformation across all industries, data analysts will be in high demand in the future. You can get started with this Data Analyst certification course to develop the necessary skills to be successful.
This Data Analyst certification course is suitable for professionals with programming experience as well as non-programming backgrounds. However, it is recommended to have a basic understanding of programming languages like SQL, Java, Python, or R.
This Data Analyst training gives you a step-by-step guide to master all the topics that a Data Analyst should know. Apart from the theoretical knowledge, you’ll get to work on projects which will make you industry-ready. The Data Analyst certification course is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.
There are many professionals who want to start a career as Data Analyst but skeptical about where to begin. Simplilearn has addressed this concern by helping candidates learn everything from scratch. So, beginners will find it easy to comprehend the course material right from day one.
Following is the list of courses for which you will get IBM certificates:
Yes, our Data Analyst course is completely online. You don’t need to attend classes at a physical location. You can access the course material anywhere using a system connected to the internet.
Upon completion of 80% of LVC hours and 2 projects, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.
Please find the completion criteria for each course within the mandatory learning path as:
|Course||Course completion certificate||Criteria|
|Business Analytics with Excel||Required||85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project|
|SQL||Required||85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project|
|Programming Basics and Data Analytics with Python||Required||85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project|
|R programming for Data Science||Required||As per criteria on IBM portal|
|Data Analytics with R||Required||85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project|
|Tableau Training||Required||85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project|
|Data Analyst Masters Capstone||Required||Attendance of one Live Virtual Classroom AND successful evaluation in at least one project|
Simplilearn’s Data Analyst certification course has a rigorous curriculum designed by industry experts. It is recommended that you follow the lessons in the same order as detailed in the learning path for the best learning experience.
You can enroll in this Data Analyst training on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or Request a callback.
All of our highly qualified Data Analyst course trainers are business intelligence industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified as Data Analyst in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.
We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Analyst course with us.
Yes, Simplilearn provides a Post Graduate Program in Data Analytics in partnership with Purdue University. The Post Graduate Program in Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science.
You typically need a combination of education and experience in data analysis, statistics, and computer science. Here are some qualifications that can help you become a data analyst:
Try out the data analyst course. You will become a master of data analytics after taking this IBM-sponsored Data Analyst course. This course on data analytics covers the newest analytics tools and techniques, R and Python programming, SQL database administration, the art of data visualisation, and the use of statistics and predictive analytics in a business context.
Being a data analyst can be challenging as it requires a combination of technical and analytical skills, but it also can be a rewarding job. The job of a data analyst involves analyzing and interpreting large amounts of data, and using that information to help organizations make better decisions.
Data analysts need to have strong analytical and problem-solving skills, as well as experience with statistical analysis, data visualization, and data mining tools. They also need to be proficient in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis tools such as Excel, Tableau, and SAS.
The job can be challenging because data analysts need to be able to work with large and complex data sets, and must be able to extract insights and make sense of the data. They also need to be able to communicate their findings to non-technical stakeholders and make recommendations based on the data.
Data analysis is a rapidly growing field and the demand for data analysts is increasing across many industries. Here are a few placement trends for data analysts:
Simplilearn is a well-known provider of online education and training programs in a wide range of subjects, including data analysis, machine learning, and artificial intelligence. Whether a Simplilearn certificate is valuable depends on a variety of factors such as the quality of the course, the level of the certification, and the employer's perspective on the certification.
Simplilearn provides a wide range of courses and certifications, and they have a good reputation in the online education space. They partner with industry experts and have a good curriculum, which can be valuable for professionals looking to gain new skills or advance their careers.
You will obtain IBM credentials for the IBM courses and Simplilearn certifications for every course in the learning path after completing Simplilearn's online data analyst courses. These credentials, will attest to your abilities and demonstrate your knowledge of data analytics. The following advantages are also available to you as part of this Data Analyst certification program:
The salary for a data analyst can vary depending on factors such as location, industry, and level of experience. On average, data analysts in the United States can earn a median salary of around $68,000 per year, with top earners making over $120,000 per year. It's important to note that these are approximate numbers and the actual salary can vary greatly.
A data analyst learner may work on various projects, depending on the course or program they are enrolled in. Some common types of projects that data analyst students may work on include:
It's important to check the course details and syllabus before enrolling to get more information about the projects that will be covered.
Yes, you get the recordings of all the classes so that you can revise and watch the content whenever you want! So, don't worry as you all will have lifetime access to the data analyst course.
Since these languages are frequently used for data modification and analysis, knowledge of programming languages like Python or R is frequently necessary for data analytics. For retrieving and altering data contained in databases, an understanding of SQL is essential. For the purpose of developing interactive visuals that can assist in explaining results to stakeholders, knowledge of data visualization tools like Tableau, Power BI, or ggplot is crucial. Understanding and interpreting data requires a working knowledge of statistical methods including regression analysis, correlation analysis, and hypothesis testing. Even if you are unfamiliar with any of them, you should still enroll in the course since it will help you develop these skills so that you may succeed in the data analyst course.
Data analysis is a promising career field. With the increasing amount of data being generated by businesses, governments, and individuals, there is a growing demand for professionals who can collect, process, and analyze that data to extract valuable insights. According to the Bureau of Labor Statistics (BLS), employment of data analysts and data scientists is projected to grow 11% from 2019 to 2029, much faster than the average for all occupations.
Yes, Excel skills are essential for becoming a data analyst. Proper Excel training equips you with the necessary knowledge and techniques to effectively analyze and manipulate data. Here's why Excel skills gained through training are important for aspiring data analysts:
Data Manipulation: Excel training teaches you how to efficiently clean, transform, and organize data using features like sorting, filtering, and data validation. These skills are crucial for preparing data for analysis.
Formulas and Functions: Excel training covers a wide range of formulas and functions, enabling you to perform calculations, statistical analyses, and data modeling. Understanding and utilizing these capabilities enhance your ability to derive insights from data.
Data Visualization: Excel training teaches you how to create visually appealing charts, graphs, and dashboards to present data in a meaningful way. Effective data visualization is essential for conveying findings and making data-driven recommendations.
Data Analysis Tools: Excel offers numerous built-in tools such as pivot tables, conditional formatting, and data analysis add-ins. Through training, you learn how to leverage these tools to gain deeper insights and perform complex analyses.
Efficiency and Productivity: Excel training equips you with time-saving techniques, shortcuts, and best practices. These skills improve your efficiency in handling large datasets and performing repetitive tasks, ultimately increasing your productivity as a data analyst.
Collaboration and Compatibility: Excel is widely used in organizations, making it important for data analysts to have the skills to collaborate and share data effectively. Excel training helps you understand file compatibility, data sharing options, and collaboration features within Excel.
By gaining Excel skills through training, you enhance your ability to manipulate, analyze, and visualize data efficiently, enabling you to excel in the role of a data analyst and contribute effectively to data-driven decision-making processes.
The city of Hongkong has an area of 1073 square kilometers and is a major player in connecting China's business with the rest of the world. This city serves as a center for many travelers who plan long vacations there, resulting in a significant increase in the tourism business. This city is a vital part of the capitalist economy, and its commercial sector is booming because of low taxes and free trade. Hong Kong's GDP is 36,571.15 billion dollars, with a GDP per capita of 48,713 billion dollars. The city has the third-largest number of millionaires in the world and an imposing infrastructure.
Hongkong is home to more than 7.5 million people, and its residents have some of the world's longest life expectancies. A humid subtropical climate prevails. Summers are extremely hot and humid, with torrential rain showers, making typhoons a common occurrence in the area. The highest temperature here is 39.0 degrees Celsius, while the lowest is 6.0 degrees Celsius. Hongkong covers a total size of 1073 square kilometers.
Hongkong has a variety of destinations to please its tourists. The attractions are of a very diverse range and the place is perfectly suitable for a relaxing yet adventurous holiday vacation. The best must-visit places Of hong kong are: