IBM is a leading cloud platform and cognitive solutions company. Since its founding in 1911, IBM has become one of the largest global technology and consulting employers, with 350,000+ employees working in 170 countries. It has collaborated with Simplilearn to give students a once-in-a-lifetime kind of exposure helping them outstand themselves in Artificial Intelligence and Data Science. Simplilearn’s Data Analyst course in London is one of the most popular courses for students as it offers excellent data analysis skills.
After partnering with Watson, IBM is working on an AI platform for business, powered by data and trying to build industry-based solutions for real-world problems. For 70 years, IBM continues to create future of Information Technology with more than 3000 researchers driving innovation in 12 labs located across six continents.
What can I expect from this Simplilearn's Data Analyst program developed in collaboration with IBM?
Once you complete your Data Analyst course in London, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate is proof that you have finished your data analyst training in this Data Analyst Training in London, giving you an edge in the job market. You will also have these things with you if you complete the course –
The Data Analyst Master's program by Simplilearn, which is known to have been developed in collaboration with IBM, aims to provide people with immense expertise in booming data analytics. Our Data Analyst course in London for certified training helps in imparting ways to master inferential and descriptive statistics, data blending, hypothesis testing, regression analysis, forecasting, and data extracts. With such a course, one can also gain data visualization expertise techniques using Power BI and Tableau coupled with learning how data can be organized, and dashboards can be designed. With the help of such a course, people with a simple understanding of mathematical concepts can also complete the course and become data analytics experts.
Such a learning experience helps to blend the knowledge of Data Analytics with demos and projects through CloudLab. With the successful completion of the course in London, one will possess all the required skills to become a Data Analyst successfully.
The learning path in our Data Analyst course in London is structured to give learners the tools they need to be successful in Data Analysis. It also helps in providing a competitive edge, and therefore, by the end of the Data Analyst Certification in London, one will be able to:
Our Data Analyst course in London gives student the opportunity to work on over 15 industry-based and real-life projects to help students master the concepts of business intelligence and analytics such as data blending, data visualization, decision trees, and much more. Various projects are mentioned hereafter:
Project 1: Examining how big companies such as Flipkart and Amazon make the use of tools of business intelligence for performing category analysis
Project Title: Category Performance Analysis
Description: According to the Performance Evaluation Program, the subcategories that yield a consistent profit for the previous four years are awarded as the Best Performing Subcategories. One can help the manager pinpoint the top subcategories based on profits earned and utilize the advanced features in the dashboard to show a full picture of the subcategory sales.
Project 2: Learning how BSE, NSE, NASDAQ, and other such stock markets leverage data analytics and science for arriving at consumable data from complicated datasets
Domain: Stock Market
Description: Being part of a Data Analyst course in London, one will import data using Yahoo data reader for many companies such as Yahoo, Google, Apple, Microsoft, and Amazon. One can also conduct fundamental analytics, which incorporates the plotting closing price, plotting stock trade by volume, performing daily return analysis, and revealing the relationship between various stocks using a pair plot.
Project 3: Watch how various banks like Bank of America, HDFC, Citigroup, and ICICI make use of data analysis for staying ahead of the competition
Description: To convince potential customers to invest in a bank term deposit, a Portuguese banking institution once ran marketing campaigns which were conducted via phone calls. There were times when the very same customer ended up being contacted a few times. Your job is to analyze all the data collected from such a marketing campaign.
Project 4: Learn how leaders of many famous healthcare industries use data analysis for leveraging business
Description: For mediating hospital readmissions, Predictive Analytics can effectively be used. Predictors are very useful in healthcare and other industries when they can be shifted into action, but without intervention, real-time and historical data are worthless. For judging the value and efficiency of a forecasted trend and dynamic behavior, both the invention and the predictor must be integrated into a similar system and workflow at the place where the trend happened originally.
Project 5: Understanding how Amazon, Walmart, Target, and other leading retail companies use data analysis for optimizing and analyzing their inventory and product placements
Description: Analytics is used for the optimization of product placements on shelves or inventory in warehouses using industry examples. With this project, participants can learn the cycle of product optimization from warehouses to shelves. This helps retail sectors to provide insights into regular occurrences.
Project 6: Understanding how AIG, Berkshire Hathaway, AXA, and other insurance leaders use data analysis by working on insurance-based real-life projects
Description: According to the Insurance Predictive Modeling Survey conducted in 2013, the use of predictive analytics in the Data Analyst course in London has significantly increased in big companies. Though the survey depicted an increase in predictive modelling all through the industry, respondents from many companies that are known to write personal insurance of over $1 billion employ it, as and when compared to 69% of the companies with a comparatively lesser premium.
Professionals of any educational background who are aspiring and possess an analytical frame of mind are best for pursuing a Data Analyst course in London; this includes:
Learners who desire to prevail in our Data Analyst course in London and certification training should hold basic skills in mathematics.
By finishing our Data Analyst course in London, the student will get the essential data analysis skill set to work as an accomplished Data Analyst. Various job titles are:
As predicted by the World Economic Forum, 2022 will witness Data Analysts as one of the top emerging jobs in society. Data analysis is viewed by organizations today as one of the most important specialties for the future due to the value the data is capable of delivering. Considering a Data Analyst course in London, data in the business environment in this day and age is much more accessible and abundant than ever. Each day, about 2.5 quintillion bytes of data are created. Data analyzers' value will continue to grow while creating new jobs and advancement opportunities for a career with an increasing skill gap in data analytics.
Professionals who enter the field of Data Analytics are known to reap the benefits of picking up a job and enjoying fruitful salaries. According to a recent IBM report, jobs you can get by taking a Data Analyst course in London are anticipated to increase by 15% to 2.72 million in 2021, with the most notable demand for IT, Financial, and Insurance Analysts. According to Glassdoor, in 2019, Data Analysts earn about $67,366 as an average pay.
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 London, UK 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 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 London, UK, 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 is skilled at analyzing large data sets and deriving meaningful results from them. They are highly important for any business that is looking for error-free data solutions. Thus, the average salary of a data analyst with data analyst certification in london is £36,487 per annum.
Data analysts look for solutions by analyzing the data of a business. Areas that need changes to help the business make better decisions are diagnosed by data analysts with the help of various data analysis tools. Thus, a professional with data analyst course in london have a chance of getting hired by companies like DNV, Deutsche Bank, Barclays, Dr Martens, Uniting People, LEGO, KANTAR, Sainsbury, Mettle, BAM Construct UK, Capgemini, RELX, GSMA, apolis, Transport for London, Experian, and many more.
Data analysts are in great demand across all industries in London. It may seem redundant after a point to state this, but Data Analysts have majorly helped industries to work error-free with the help of data tools. Thus, the major industries of London like information technology, engineering, media, tourism, manufacturing, construction, retail, financial services, etc., all need data analysts with data analyst certification in london.
Data Analysts study data using data analyzing tools to gather insights for the clients to make decisions. However, a data analyst needs to have skills in SQL, computer programming languages, data visualization, machine learning, critical thinking, etc. The Data analyst should be able to design and handle the data of a business. Thus, with a data analyst course in london, you can prove that you have learned the aspects of data analysis and applied the lessons in practical life. Some basic pre-requisites to become to data analyst includes -
A course in data analytics is not hard to come across on the internet. However, finding the right course that suits your needs is the real challenge. Thus, a data analyst course in london should fulfill the following standards -
This Data Analyst training in London 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 Analytics certification course in London is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.
You can enroll in this Data Analytics training in London 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.
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.
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.
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.
London is a cultural hub for art and music enthusiasts. A huge influx of students community proves the importance of it being the Mecca for students at universities like Oxford, Cambridge, etc. London holds a population of 9,425,622 and has an elevation of 11 meters. Covering an area of 1579 square kilometers, London experiences frequent spells of rainfall, with cloudy, humid summers, but short and cold winters. According to Statista, the Gross Domestic Product of London is 503 billion pounds, while the GDP per capita stands at 56199 pounds. The calculations are based on data acquired until 2019.
The culturally rich heritage and charming architecture are what constitute London- unique and lively. The streets are busy and frequented by buskers crooning happy tunes. If you want to experience the real essence of London, visit the following places -
And many more.