About the Program

  • About the Data Analyst Master's 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 Data Analytics and Data Science. The Data Analyst Master’s program in collaboration with IBM will make students industry ready for Data Analytics and Data Science job roles.

     

    IBM is a leading cognitive solution 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's Data Analyst program developed in collaboration with IBM?

    Upon completion of this Data Analyst 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 Data Analyst Master's certificate from Simplilearn

  • What are the learning objectives?

    Simplilearn’s Data Analyst Master's program developed in collaboration 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 Analysers 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 Data Analysis skills will you learn in this course?

    The learning path in this Data Analyst 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 Analytics courses, 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 Data Analysis 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 a 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: The 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 Analytics course?

    Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analytics course, 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 Analytics courses?

    Professionals wishing to succeed in this Data Analytics certification training should have basic knowledge of mathematics.

  • What are the job opportunities upon completing this Data Analytics courses?

    Upon completing the Data Analytics certification courses, you will have the data analysis 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

Microsoft ExcelNumPypandasSciPyWatsonpower bitableaupythonR

Program 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

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Data Analyst

Reviews

  • Ravi Chandra

    Ravi Chandra

    Package Solution Consultant (Cognos BI) at IBM Global Services

    The training was excellent. Appreciate the trainer's capability to answer all the queries. Thanks to Simplilearn for such a good course content.

  • Amol B

    Amol B

    Associate Manager at Firepro Systems

    Simplilearn is the awesome learning platform. The courses are very well designed and the live classes have personal attention in terms resolving the doubts. Thanks Simplilearn.

  • Manish Beniwal

    Manish Beniwal

    Advisor Reporting - Global Mobility at Rio Tinto

    I am Data Analyst with 7 years of work experience, but I didn't have the chance to work with Statistics like I am in this course. Its a good course even for beginners. Overall, the training is very good. Thank you Simplilearn.

  • Hariharan Krishnaswamy

    Hariharan Krishnaswamy

    I was working as a business analyst at HCL. The Simplilearn course taught me to think about the bigger picture. The learnings from this course have helped me enhance my performance at work and gain a mid-term increase in my salary.

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 Analysers 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 Data Analytics certification courses 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 online 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 is Data Analysis?

    Data analysis 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 program.

  • How to learn Data Analytics?

    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 take this training program and learn data analytics from industry experts. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.

  • Will this course help me to start my career in Data Analytics?

    Yes, anyone embarking on a career in data analytics can take this course. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation of the data analytics concepts.

  • How does this course qualify me as a Data Analyst?

    This training program gives you 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 course is specifically curated to impart those skills that employers actually consider under data analyst qualification.

  • What can I expect from this Simplilearn Data Analytics courses developed in collaboration with IBM?

    Upon completion of this Data Analytics courses, 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

  • *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 earn the Master's certificate?

    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

  • How do I enroll for the Data Analyst Master's program?

    You can enroll in this Data Analytics 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 Data Analytics trainers are industry analytics 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.