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 New York City 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, New York City. IBM beings technology and consulting services leadership, and 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 New York City. 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 New York City, you’ll be given a course completion certificate from IBM and Simplilearn. Simplilearn's Data Analyst course in New York City certificate shows you completed your data analyst training 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. Hypothesis testing, data blending, data extracts, forecasting, and descriptive and inferential statistics are all skills taught in this Simplilearn's Data Analyst course in New York City.
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 New York City trains students on 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 New York City 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 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.
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 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.
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 inventory and product placement.
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 New York City, including:
To be successful in the Data Analyst course in New York City and its certification training, students should have a good grasp of basic mathematics.
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. 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.
The Data Analyst course in New York City will give professionals all the tools needed to earn a dream job as a respected 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 for beginners course 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 analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, 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. This Data Analytics course 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 Analytics certification 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 course is 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 certification 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 Analyst 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 this Data Analytics Certification Course.
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 NYC 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 NYC, 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 NYC 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 typical average salary that one can earn on completing the Data Analyst course in NYC is $67357. The basic skills expected from a Data Analyst include SQL, critical thinking, and smooth communication. Consistently polishing the skills required and working constantly, one can become a highly paid Data Analyst in NYC.
The Data Analysts are quite high in demand in NYC and offer great prospects. The prominent companies hiring Data Analysts in NYC are J.P. Morgan Chase & Co., New York University (NYU) School of Medicine, New York Life Insurance Company, and many more. On completing the Data Analyst course in NYC, one can land great opportunities.
Financial services, healthcare, technical services, and education are among the key industries in New York that contribute the most to GDP. Furthermore, Data Analysts are in great demand in many of these businesses, and Data Analyst training in NYC provides the ideal chance to explore the possibilities.
The typical average salary that one can earn on completing the data analyst course in New York is $67357. The basic skills expected from a data analyst include SQL, critical thinking, and smooth communication. Consistently polishing the skills required and working constantly, one can become a highly paid data analyst in New York.
The data analysts are quite high in demand in New York and offer great prospects. The prominent companies hiring Data Analysts in New York are J.P. Morgan Chase & Co., New York University (NYU) School of Medicine, New York Life Insurance Company, and many more. On completing the data analyst course in New York, one can land great opportunities.
Financial services, healthcare, technical services, and education are among the key industries in New York that contribute the most to GDP. Furthermore, data analysts are in great demand in many of these businesses, and data analyst training in New York provides the ideal chance to explore the possibilities.
The average annual salary of a Data Science and Business Analytics expert in New York City today is around $67818 annually. A Data Analyst Masters Certification NYC delivers in-depth knowledge of spreadsheets, SQL, public speaking, data warehousing, critical thinking, research, and problem solving techniques necessary for a Data Analyst to possess.
Data Science and Business Analytics experts are in high demand in New York City's IT business. A Data Analyst Masters Certification NYC fuels the recruitment process of major tech giants like Oracle, MU Sigma Analytics, Tiger Analytics, Accenture, and Fractal Analytics and guarantees high salary jobs.
New York’s major industry is Agriculture and provides a livelihood for hundreds of thousands of residents. Technical Services, Retail Trade, Health Care, Financial Services, Educational Services, Professional Services, and Manufacturing are other successful industries of New York City. A Data Analyst Masters Certification NYC opens the gates of all these industries.
Working as a skilled Data Science and Business Analytics expert in New York City is a vivid experience. A Data Analyst Masters Certification NYC is a data analytics focused program that contains core coursework in data engineering, machine learning, and other high-tech areas to help you receive a large pay.
It's a no-brainer because the Internet has made our life so simple that all you have to do is type Data Analyst Masters Certification NYC into your computer browser. There will be a variety of platforms to service the transaction, but you must pick intelligently.
Yes, anyone embarking on a career as Data Analyst can take Data Analytics Courses Online. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation of the 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 certification 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 Analytics 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 are the list of courses for which you will get IBM certificates:
Yes, our Data Analyst certification 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.
Companies look for specialized technical skills when hiring a Data Analyst. Professionals who are skilled in data mining, statistics, core math, problem-solving, and storytelling fare better for the role of a Data Analyst. Good communication skills are also necessary as data analysts have to share their findings with the team and various stakeholders involved in any project. You can build all of these skills with our Data Analyst training.
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.
You can apply for data analytics related job roles as an entry-level professional after you complete this Data Analyst training. The opportunities for data analysts are not limited to the IT industry but exist in other areas like marketing, finance, pharma, and retail.
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or contact Help & Support.
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 PG program in the Data Analytics domain 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, including Statistics, Python, R, Tableau, SQL, and Power BI.
Simplilearn's Data Analyst Master’s course consists of the following courses:
Intro to Data Analytics
For admission to the Simplilearn’s Data Analyst certification course, candidates:
Should have a bachelor's degree in any discipline with an average of 50% or higher marks
A non-programming background can also apply; however, the intent to learn some programming is required to become a successful data analytics professional
Having prior work experience is not mandatory
Going by the nickname The Big Apple, New York is the most populous city with a figure of 8336817 as of 2019. Brooklyn, Queens, Manhattan, the Bronx, and Staten Island are the five boroughs that makeup New York City, with a total area of 302.6 square miles. New York is one of the most ethnically diverse, religiously diversified, and commercially oriented cities globally, with a humid subtropical climate.
New York is the biggest contributor with a GDP of $1.751 trillion and GDP per capita of $90,043 in 2019. New York, a metropolis of striking contrasts and deep paradoxes, is probably the best symbol of a varied and strong nation. New York is the United Nations headquarters, the world's largest financial center, and the most powerful city in terms of economic power.
New York is the city with the most optimistic spirit. Being one of the culturally and economically forward metropolises, the city is filled with amazing places to visit. New York offers serene beaches, fun adventure zones, classic landmarks, and soothing parks to explore. The prominent ones are:
600 Third Avenue, 2nd floor New York City, NY 10016 United States