• Next cohort Starts25th Jun, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 Months
  • Next cohort Starts25th Jun, 2024
  • Learning FormatOnline Bootcamp

Why Join this Program

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    IBM Advantage

    Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses.

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    Applied Learning

    Capstone and 20+ industry-relevant data analytics projects to ensure comprehensive learning

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    Data-Driven Decision Making

    Learn tools like Tableau, Excel, SQL, Python, R, PowerBI and more

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    Top-notch Data Analyst course

    Comprehensive data analytics curriculum with live online classes by industry experts

World’s #1 Online Bootcamp

Begin your journey to success

Get lifetime access to self-paced e-learning content

Corporate Training

Enterprise training for teams

Data Analyst Program Overview

This data analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

Key Features

  • Industry-recognized Data Analyst Master’s certificate from Simplilearn
  • Dedicated live sessions by faculty of industry experts
  • Masterclasses from IBM experts
  • Industry-recognized IBM certifications for IBM courses
  • Ask-Me-Anything (AMA) sessions with IBM leadership
  • Capstone from 3 domains and 20+ projects
  • Exclusive hackathons conducted by IBM
  • Lifetime access to self-paced learning content
  • Program crafted to initiate your journey as a Data Analyst

Data Analyst Program Advantage

Get certified in data analysis with this IBM program. Access masterclasses by experts, and AMAs with leadership. Earn Data Analyst and IBM certificates plus complete capstone projects. Advance your career now!

  • Master's Certificate

    Earn your Data Analyst Certificate

    • Industry-recognized certificate by Simplilearn
    • Dedicated live sessions by faculty of industry experts
    • Lifetime access to self-paced learning content
  • IBM Certificate

    Get ahead with IBM Advantage

    • Content and certificate by IBM
    • Masterclasses by IBM experts
    • Hackathons and AMA Sessions

About the Program

About the Data Analyst Master's program developed in collaboration with IBM

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:

  • 24/7 accessibility to IBM cloud platforms that features IBM Watson and other software
  • Simplilearn's Data Analysis Master’s certificate with industry recognition

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 –

  1. Access to IBM cloud platforms that feature IBM Watson and other software.
  2. Industry recognized Data Analyst Master’s certificate from Simplilearn.
  3. USD 1200 worth of IBM cloud credits that you can use for hands-on exposure.

What are the learning objectives?

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.

What skills will you learn in this data analyst course in New York City?

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:

  • Have a strong command over SQL concepts such as universal query tools.
  • Have an understanding of essential statistical concepts such as dispersion, regression, correlation, and measures of central tendency.
  • Learn to read and write files, save data, load files, etc., in Python.
  • Learn about statistical inference and modeling with R.
  • Have in-depth knowledge of several data visualization libraries in Python, including Folium, Seaborn, and Matplotlib.
  • Gain an understanding of DBSCAN, K-means, and hierarchical clustering.
  • Learn business analytics via Excel.
  • Become an expert in Tableau statistics.
  • Master visualization techniques, namely market basket analysis, treemap, waterfall, heat map, and Gantt chart.

What projects are included in this data analyst course in New York City?

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.
Domain- Banking
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.
Domain- Healthcare
Description- In this project, you will learn predictive analytics and judge the efficiency of forecasting a trend. Historical and real-time data can be compared to judge the efficiency and value of the data. The predictor and the intervention are integrated back into the same system. 
 
Find out how market leaders such as Walmart, Target, and Amazon are using data analysis to evaluate inventory and product placement.
Domain- Retail
Description- In this project, you will learn about product and inventory optimization from the shelves to the warehouse. Participants will tend to learn the daily cycle of product optimisation from the shells to the warehouses. This will help in giving them regular insights into the occurrences that occur in the real estate sector.
 
Using data analysis, learning how Berkshire Hathaway, AIG, and AXA (insurance leaders) work on real-life insurance-based projects.
Domain- Insurance
Description- Predictive analytics has helped to increase the insurance businesses. It has helped to increase the efficiency of the businesses. According to the 2013 Insurance Predictive Modeling Survey, there has been an increase in predictive modelling throughout the industry, all people from companies that write over $1 billion in personal insurance employ predictive modelling if compared to 69% of companies with less than that amount of premium.

Who should take this Data Analyst course New York City?

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:

  • IT professionals
  • Banking and finance professionals
  • Marketing managers
  • Sales professionals
  • Supply chain network managers
  • Beginners in the data analytics domain
  • Students in UG/ PG programs

What are the prerequisites for this Data Analyst course in New York City?

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.

Why become a Data Analyst?

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.

What are the job opportunities upon completing this Data Analyst course in New York City?

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:

  • Analytics Manager or lead
  • Data Analyst
  • Business Intelligence Analyst
  • Business Intelligence Engineer 
  • Business Analyst/Senior Business Analyst
  • Various managerial roles

Data Analyst Certification Learning Path

Accelerate your career trajectory with our extensive data analyst course curriculum. Delve into foundational statistics, master data analysis with Python and R, navigate databases using SQL, and harness the power of visualization with Tableau and Power BI.

Learning Path

Electives:
    • Aligned with PL-300: Microsoft Power BI Data Analyst certification
    • Learn Power BI Desktop layouts, BI reports, dashboards, and more
    • Learn to experiment, refine, prepare, and present data with ease
    • Explore comprehensive Power BI training for hands-on applied learning
    • Learn through a practical approach to help you gain expertise

  • Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.

8+ Skills Covered

  • Data Analytics
  • Statistical Analysis using Excel
  • Data Analysis using Python and R
  • Data Visualization Tableau and Power BI
  • Linear and logistic regression modules
  • Clustering using KMeans
  • Supervised Learning
  • Unsupervised Learning

9+ Tools Covered

Microsoft ExcelNumPypandasSciPypower bipythonRtableauMySQLFSD

Industry Projects

  • Project 1

    APP RATING RECOMMENDATIONS

    The Google Play Store team launches visibility booster for promising apps - displayed higher in recommendations. Build model to predict app ratings with provided app data.

  • Project 2

    COMCAST TELECOM CUSTOMER COMPLAINTS

    Comcast promises better customer service but continues falling short, despite repeated vows to improve. Leverage database of customer complaints to finally boost satisfaction.

  • Project 3

    ECOMMERCE SALES DASHBOARD

    E-commerce company seeks sales dashboard to analyze product categories, ease selection, and boost purchases. Help users review info on products they're considering.

  • Project 4

    COMPARATIVE STUDY OF COUNTRIES

    Create a dashboard to compare different countries on various parameters using the sample insurance data set and world development indicators data set.

  • Project 5

    SALES PERFORMANCE ANALYSIS

    Build dashboard showing monthly sales by segment and category, flagging those meeting/exceeding/missing targets - enabling clients to easily identify areas needing attention.

  • Project 6

    ANALYSIS OF SALES REPORT OF A CLOTHES MANUFACTURING OUTLET

    Fashion retailer seeks to expand product line. Aims to grasp market trends, automate product attributes, predict sales, understand sales drivers, and standardize ratings with data.

  • Project 7

    COLLEGE ADMISSION

    Each year, US colleges receive thousands of applications from international students. To streamline the process, the education department must analyze factors affecting admission.

  • Project 8

    IDENTIFYING AND RECOMMENDING THE BEST RESTAURANTS

    Upgrading B2C portal with smart automation. Forming matrices for top-notch eateries and suggestions. Analysis-based reports and visual dashboards for sharing insights.

  • Project 9

    PREDICTING LOAN DEFAULTERS

    High vehicle loan defaults cause losses, leading to stricter underwriting. Need a better risk model. Study to identify default factors and predict defaults.

  • Project 10

    EXAMINING FACTORS RESPONSIBLE FOR HEART ATTACKS

    Global heart disease deaths are high. We need a system to predict heart attacks. Study data on cardiovascular health, identify key factors and create a predictive model.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Join the Data Analytics industry

Data Science and Analytics jobs are projected to see growth by 31% in the upcoming decade. The data analytics market is estimated to reach $24.63 Bn in 2021 and is projected to grow at a compound annual growth rate of 25 per cent from 2021 to 2030.

Job Icon11.5 M

Expected New Jobs for Data Science and Analytics

Source: Analytics Insight
Job Icon31%

Annual Job Growth by 2030

Source: 365 Data Science
Job Icon$ 62K-121K

Average Annual Salary

Source: Glassdoor

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
     course learners from Amazon, New York City
     course learners from Ernst & Young, New York City
     course learners from Fidelity Investments, New York City
     course learners from Johnson and Johnson, New York City
     course learners from Vodafone, New York City
     course learners from Broadcom, New York City
     course learners from Accenture, New York City
     course learners from Nomura Holdings, New York City
     course learners from Ericsson, New York City
     course learners from Infosys, New York City
     course learners from Nvidia, New York City
     course learners from Tata Consultancy Services, New York City

Learner Reviews

Financing

The admission fee for this program is $ 1,449

Pay in Installments

You can pay monthly installments for Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.

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Other Payment Options

We provide the following options for one-time payment

  • Credit Card
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$ 1,449

Data Analyst Training FAQs

  • How do I become a Data Analyst?

    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.

  • What can I expect from this Simplilearn Data Analyst course developed in collaboration with IBM?

    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:

    • Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM* and Simplilearn upon successful completion of the program
    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • How do I enroll for the Data Analyst course in NYC?

    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:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • What is the salary of a Data Analyst in NYC?

    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.

  • What are the major companies hiring Data Analysts 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.

  • What are the major industries in NYC?

    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.

  • What is the salary of a Data Analyst in New York?

    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.

  • What are the major companies hiring Data Analysts 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.

  • What are the major industries in New York?

    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.

  • What is the salary of a Data Science and Business Analytics expert in New York City?

    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.

  • What are the major companies hiring Data Science and Business Analytics experts in New York City?

    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.

  • What are the major industries in NYC?

    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.

  • How to become a Data Science and Business Analytics expert in NYC?

    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.

  • How to find a Data Analyst Masters Certification in NYC?

    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.

  • What is the job market for data analysts?

    Data analysis is a rapidly growing field, and the demand for data analysts is increasing in many industries. Here are a few placement trends for data analysts:

    • Increasing demand: The amount of data being generated is increasing at a rapid rate, and organizations are looking for ways to extract insights from that data. As a result, the demand for data analysts is increasing in finance, healthcare, retail, and manufacturing industries, to name a few.
    • The growing use of data analytics in different sectors: Data analysis is becoming increasingly important in various sectors, such as healthcare, finance, manufacturing, retail, and technology. The increasing use of data analytics in various sectors is creating new opportunities for data analysts.
    • Remote work: With the COVID-19 pandemic, remote work has become more prevalent and many companies are now looking for data analysts who can work remotely.
    • Use of machine learning and artificial intelligence: Data analysts are increasingly expected to use machine learning and AI to extract insights from data. This is creating new opportunities for data analysts with experience in these technologies.
    • Interdisciplinary skills: Data analysts are increasingly expected to have interdisciplinary skills, such as data visualization and business acumen.

Data Analyst Course in NYC

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:

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.