About the Program

  • About the program developed in collaboration with IBM

    IBM is the second largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The program in collaboration with IBM will make students industry ready for Artificial Intelligence and Data Science job roles. IBM is a leading cognitive solutions and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in US Inventors Hall of Fame.

    What can I expect from this Simplilearn program developed in collaboration with IBM?

    Upon completion of this Master's Program, you will receive the certificates from IBM and Simplilearn in the Data Analytics courses in the learning path*. These certificates will testify to your skills as an expert in Data Analyst. You will also receive the following:

    • 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
    • Industry-recognized Master’s Certificate from Simplilearn

  • What are the learning objectives?

    Simplilearn’s Data Analyst Master's Program Co-Developed with IBM will provide you with extensive expertise in the booming data analytics field. This data analytics certification training course will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extracts, and forecasting. Through this course, you will also gain expertise in data visualization techniques using Tableau and Power BI, learning how to organize data and design dashboards. 

    In this data analyst certification online course, a special emphasis is placed on those currently employed in the non-technical workforce. Through this course, those with a basic understanding of mathematical concepts will be able to complete the course and become an expert in data analytics.

    This learning experience melds the knowledge of Data Analytics with hands-on demos and projects via CloudLab. Upon completing this course, you will have all the skills required to become a successful data analyst.

  • Why become a Data Analyst?

    By 2020, the World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, the value of data analysts is continuing to grow, creating a new job and career advancement opportunities.

    The facts are that professionals who enter the Data Science field will have their pick of jobs and enjoy lucrative salaries. According to an IBM report, data and analytics jobs are predicted to increase by 15 percent to 2.72 million jobs by 2020, with the most significant demand for data analysts in finance, insurance, and information technology. Data analysts earn an average pay of $67,377 in 2019 according to Glassdoor.

  • What skills will you learn in this Data Analyst course?

    The learning path in this master’s program is specifically designed to give you the tools you need to be successful in Data Science and help you obtain a competitive edge. By the end of this Data Analyst Master’s Program, you will:

    • Understand essential statistical concepts including measures of central tendency, dispersion, correlation, and regression
    • Master SQL concepts such as Universal Query Tool and SQL command
    • Write your first Python program by implementing concepts of variables, strings, functions, loops, and conditions
    • Understand the nuances of lists, sets, dictionaries, conditions and branching, objects and classes in Python
    • Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas
    • Learn how to interpret data in Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and execute machine learning using Scikit-Learn
    • Perform data analytics using popular Python libraries
    • Gain insights on several data visualization libraries in Python; including Matplotlib, Seaborn, and Folium
    • Gain an in-depth understanding of the basics of R, learning how to write your own R scripts
    • Master R programming and understand how various statements are executed in R
    • Understand and use linear and non-linear regression models and classification techniques for data analysis
    • Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
    • Gain a foundational understanding of business analytics using Excel
    • Get introduced to the latest Microsoft analytics and visualization tools (Power BI)
    • Grasp the concepts of Tableau Desktop 10, become proficient with Tableau statistics and build interactive dashboards
    • Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto, Gantt chart, and market basket analysis

  • What projects are included in this course?

    This Data Analyst Master’s program includes 15+ real-life, industry-based projects on different domains to help you master concepts of business analytics and intelligence, such as decision trees, data visualization, data blending, and more. Projects are as follows:
     
    Project 1: Examine how large companies like Amazon and Flipkart make use of business intelligence tools to perform category analysis.
     
    Project Title: Category Performance Analysis
     
    Description: According to the Performance Evaluation Program, the subcategories yielding consistent profit for the last four years are awarded the Best Performing Subcategories. Help the manager identify the top subcategories based on profits and use advanced dashboard features to portray a complete picture for subcategory sales.
     
    Project 2: Learn how stock markets like NASDAQ, NSE, and BSE leverage data science and analytics to arrive at consumable data from complex datasets.
     
    Domain: Stock Market
     
    Description: As a part of the project, you will import data using Yahoo data reader for the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. Perform fundamental analytics, including plotting closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all stocks.
     
    Project 3: See how banks like Citigroup, Bank of America, ICICI, and HDFC make use of data science to stay ahead of the competition.
     
    Domain: Banking
     
    Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.
     
    Project 4: Learn how leading healthcare industry leaders make use of data science to leverage their business.
     
    Domain: Healthcare
     
    Description: Predictive analytics can be used in healthcare to mediate hospital readmissions. In healthcare and other industries, predictors are most useful when they can be transferred into action, but historical and real-time data alone are worthless without intervention. More importantly, to judge the efficiency and value of forecasting a trend and ultimately changing behavior, both the predictor and the intervention must be integrated back into the same system and workflow where the trend originally occurred.
     
    Project 5: Understand how leading retail companies like Walmart, Amazon, and Target make use of data science to analyze and optimize their product placements and inventory.
     
    Domain: Retail
     
    Description: Analytics is used in optimizing product placements on shelves or optimization of inventory to be kept in the warehouses using industry examples. Through this project, participants learn the daily cycle of product optimization from the shelves to the warehouse. This gives them insights into regular occurrences in the retail sector.
     
    Project 6: Understand how insurance leaders like Berkshire Hathaway, AIG, and AXA make use of data science by working on a real-life insurance-based project.
     
    Domain: Insurance
     
    Description: Use of predictive analytics has increased greatly in insurance businesses, especially for the biggest companies, according to the 2013 Insurance Predictive Modeling Survey. While the survey showed an increase in predictive modeling throughout the industry, all respondents from companies that write over $1 billion in personal insurance employ predictive modeling, compared to 69% of companies with less than that amount of premium.

  • Who should take this Data Analyst Master’s Program?

    Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Master’s Program, 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 Master’s Program?

    Professionals wishing to succeed in this data analyst training should have basic knowledge of mathematics.

  • What are my job opportunities upon completing this Simplilearn IBM Co-Developed Data Analyst Master’s Program?

    Upon completing the Data Analyst IBM co-developed program, you will have the skills necessary to win your dream job as a data analyst. Jobs titles include:

    • Data analyst
    • Analytics manager/lead
    • Business analyst/senior business analyst
    • Business intelligence analyst
    • Business intelligence engineer 
    • Various managerial roles

Tools Covered

excelNumPypandasSciPyWatsonpower bitableaupythonR

Course Advisor

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    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.

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Learning Path

  • Course 1

    Introduction to Data Analytics

    Simplilearn’s introduction to Data Analytics course will give you insights into applying data and analytics principles in your business. You will gain an understanding of the complete data analytics lifecycle, from problem definition to solution deployment. And through various industry-specific examples and case studies, you will learn how analytics, data visualization, and data science methodologies can be used to drive better business decisions.

    Read More
  • Course 2

    SQL Training

    With SQL Training course, master SQL and improve your career prospects as it is one of the most in demand tech skills!

    Read More
  • Course 3Online Classroom Flexi Pass

    Data Analytics with Python

    Learn how to analyze data in 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 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.

    Read More
  • Course 4Online Classroom Flexi Pass

    Data Science Certification Training - R Programming

    Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.

    Read More
  • Course 5Online Classroom Flexi Pass

    Tableau Desktop 10 Qualified Associate Training

    This Tableau training course will help you master the Tableau Desktop 10 data visualization and reporting tool. You’ll learn how to build visualizations, organize data, and design dashboards to empower more meaningful business decisions. You’ll be exposed to the concepts of statistics, data mapping, and establishing data connections. The course includes four industry-based projects and two simulation exams to prepare you for the Tableau Desktop 10 Qualified Associate certification.

    Read More
  • Course 6

    Business Analytics with Excel

    Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics with Excel course, which includes Power BI training. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.

    Read More
  • Course 7

    Power BI

    Learn data visualization and all of the critical features in Power BI in this Power BI Certification course, which allows you to explore, experiment, fix, prepare, and present data quickly and easily. This course is aligned to Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI.

    Read More
  • Master's Program Certificate

  • Electives

    Data Science in Real life

  • Electives

    Programming Refresher

  • Electives

    Industry Master Class – Data Analytics

Get Ahead with Simplilearn's Master Certificate

Earn your certificate

Our Masters program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and skills you've gained working on projects, simulations, case studies will set you ahead of competition.

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Data Analyst

FAQs

  • What does a Data Analyst do?

    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 analyst 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.

  • How do I become a Data Analyst?

    This program co-developed 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 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 program developed in collaboration with IBM?

    Upon completion of this Master's Program, you will receive the certificates from IBM and Simplilearn in the Data Analyst courses in the learning path. These certificates will testify to your skills as an expert in Data Analytics. 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)
    • An Industry-recognized certificate from IBM 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
    • Access to digital badges from IBM

  • How do I earn the master’s program certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Analyst Master’s Program certificate that will testify to your skills as an expert in Data Analytics.

    Course Course completion certificate Criteria
    Statistics Essential Required 85% of Online Self Paced completion
    Programming Fundamental Required 85% of Online Self Paced completion
    SQL Basics 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

     

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • Data Science in Real Life
    • R Programming for Data Science
    • Python for Data Science
    • Data Analytics with Python
    • Data Visualization with Python
    • Data Visualization with R

  • How do I enroll for the Data Analyst Program?

    You can enroll for this training 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.

  • If I need to cancel my enrollment, can I get a refund?

    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.

  • I am not able to access the online course. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or contact Help & Support.

  • Do you provide a money back guarantee for the training programs?

    Yes. We do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified trainers are 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.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified 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.

  • What is covered under the 24/7 Support promise?

    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 course with us.

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