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 Washington 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, Washington. IBM beings technology and consulting services leadership, and 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 Washington. 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 Washington, you’ll be given a course completion certificate from IBM and Simplilearn. Simplilearn's Data Analyst course in Washington certificate shows you completed your data analyst training 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. Hypothesis testing, data blending, data extracts, forecasting, and descriptive and inferential statistics are all included in this Data Analyst course in Washington.
If you have a basic understanding of mathematical concepts, you can easily become an expert in Data analytics with the help of this course.
This Data Analyst course in Washington trains students on 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 Washington 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- Through working on this project, you will be able 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. A marketing campaign was launched by the Portuguese bank 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 market leaders such as Walmart, Target, and Amazon 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 Washington, including:
To be successful in the Data Analyst course in Washington and its certification training, students 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.
An IBM report forecasts that data and analytics jobs will rise to 15% to 2.72 million jobs by 2020. 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.
The Data Analyst course in Washington will give professionals all the tools needed to obtain a lucrative job as a data analyst. Various job titles are:
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
Simplilearn’s Data Analytics courses will give you insights into how to apply data and analytics principles in your business. Learning analytics, data visualization, and data science methodologies through this course will make you capable of driving better business decisions and ROI.
Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics and Power BI. These two commonly used tools, combined with official certificate, will put you on the path of a successful career.
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.
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.
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.
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 Analytics Courses.
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.
Data Analytics is one of the major areas to explore in this digitalized world. To learn data analytics, 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 Bootcamp 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 Data Analyst certification course in Washington, D.C. 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 Analyst 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 Analyst course in DC, 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:
You can enroll in this Data Analyst certification training in DC 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.
The average salary of a Data Scientist is $67,230 per year in Washington, D.C. While any salary you’re offered will likely depend on your skills and experience, your negotiating strength will greatly increase if you were to complete a Data Analyst course in Washington, D.C.
While Washington, D.C. is seen more as a politically dominant city, considering it has all three branches of the federal government, it doesn’t preclude many companies from various industries setting up shop in the city. If you’ve done your Data Analyst training in Washington, D.C., you can get jobs in companies that are in professional services, healthcare, and life sciences, technology, and retail, among others.
A data analytics expert after a data analyst masters certification washington has an average salary of 67,192 dollars. A data analyst gathers knowledge about certain issues by analyzing data. It often begins with the questionnaire procedure, wherein data analysts locate survey respondents and collect the necessary answers.
Clean Technology, forest product manufacturing, Aerospace, food, and agriculture sectors are the leading industries that support Washington's economy. Having a data analyst masters certification washington credit can ease the difficulties in getting a job role.
You will first need to gain a bachelor's degree focusing on analytical skills. You have to study significant skills and practice on 1st level. Then to master it completely, you need to get a master's degree. Such as data analyst masters certification washington, which is helpful to secure a job.
Finding the right online course is not impossible. Look out for if they offer how-to grasp qualitative and interpretive statistics, logistic research, data mining, data extraction, and prediction as part of your course. With data analyst masters certification washington, you would also acquire knowledge of data visualization methods and how to organize information and build dashboards.
Yes, anyone embarking on a career as Data Analyst can take these Data Analytics 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 Analytics course to develop the necessary skills to be successful.
This Data Analyst 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 Analytics course online 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 the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.
|Course||Course completion certificate||Criteria|
|Introduction to Data Analytics||Required||85% of Online Self Paced completion|
|Data Analytics with Python||Required||85% of Online Self Paced completion|
|Data Science with R||Required||85% of Online Self Paced completion or Attendance of 1 Live Virtual Classroom, And Score above 75% in the course-end assessment And successful evaluation in at least 1 project|
|Business Analytics with Excel||Required||85% of online self-paced completion and successful evaluation in at least one project|
|Tableau Desktop 10 Training||Required||85% of online self-paced completion OR attendance of one live virtual class and successful evaluation of at least one project|
|Power BI||Required||85% of Online Self Paced completion|
|Data Analyst Capstone||Required||Attendance of one Live Virtual Classroom AND successful evaluation in at least one project|
Simplilearn’s Data Analytics 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.
Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.
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 Analytics course with us.
Yes, Simplilearn provides a Professional Certificate Program in the Data Analytics in partnership with Purdue University. The Professional Certificate Program in the Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science, including Statistics, Python, R, Tableau, SQL, and Power BI.
Washington, D.C. is one of those cities that are easily recognizable because it is where the famed White House, the home of the incumbent president of the United States. It also has the Capitol Building as well as the Supreme Court, marking a presence of all three branches of the federal government.
If you’re a sports fan, Washington, D.C. is the place to be. It is one of only 13 cities in the entire country which has a team in all the top four professional sports leagues. Washington is also a national arts center. It is home to the Washington National Opera and the National Symphony Orchestra.
Washington, D.C. has a number of attractions and landmarks you cannot miss. Whether it’s the Jefferson Memorial or the iconic Ford’s Theatre, where former president Abraham Lincoln was shot, you’ll have lots of places to go to. Some other important landmarks in Washington, D.C. is:
1300 I Street NW, Suite 400E Washington, DC 20005 United States