Data Analyst
This Data Analyst Master’s program in collaboration with IBM will make you an expert in data analysis. In this Data Analyst course, you'll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.
- Course 1Introduction to Data Analytics
- Course 2Business Analytics with Excel
- Course 3Tableau Training
- Course 4Power BI
- Course 5Programming Basics and Data Analytics with Python
- Course 6Data Science with R Programming
- Course 7Data Analyst Capstone
- Master's Certificate*You will get individual certificates for each course.
World’s #1 Online Bootcamp
- Exclusive Hackathons and Live interaction with IBM leadershipIncludes live Master Classes and Ask me anything sessions
- 120+ hours of live interactive learningLive Online classes by industry experts
- Capstone and 15+ real life projectsBuilt on datasets of Google Playstore, Lyft,Worldbank.
- Annual Average US salary $78K to $144K
For Business
Customized learning paths, 4x outcomes & completion rates; award-winning client support.
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(for IBM courses) and Simplilearn for the courses in the learning path. These certificates will testify to your skills as an expert in Data Analyst. You will also receive the following:
- Access to IBM Cloud Lite Account
- 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 Analyst 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 Analyst certification training, 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 Analyst course?
Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst 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
Tools Covered
Program Advisor
Ronald van Loon
Top 10 Big Data and Data Science Influencer, Director - AdversitementNamed 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.
Learning Path
- Course 1
Introduction to Data Analytics
Read MoreSimplilearn’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.
- Course 2
Business Analytics with Excel
Read MoreBoost 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.
Powered By - Course 3Online Classroom Flexi Pass
Tableau Training
Read MoreThis Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics by learning Tableau and how to best use this training in your work.
Tableau Alliance Partner - Course 4
Power BI
Read MoreSimplilearn’s Power BI certification training will help you learn Power BI concepts like Microsoft Power BI Desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions. In this Power BI certification course, you will explore to experiment, fix, prepare, and present data quickly and easily.
- Course 5Online Classroom Flexi Pass
Programming Basics and Data Analytics with Python
Read MoreLearn 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.
- Course 6Online Classroom Flexi Pass
Data Science with R Programming
Read MoreSimplilearn’s Data Science with R certification course makes you an expert in data analytics using the R programming language. This online training enables you to take your Data Science skills into a variety of companies, helping them analyze data and make more informed business decisions.
Industry Projects * - Course 7Online Classroom Flexi Pass
Data Analyst Capstone
Read MoreSimplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analyst master’s program. 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.
Master's Program Certificate
- Electives
Programming Refresher
- Electives
Industry Master Class – Data Analytics
- Electives
SQL Training
- Electives
R Programming for Data Science
Get Ahead with Simplilearn's Master Certificate
Earn your certificate
Our Data Analyst 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 Data Analysis skills you've gained working on projects, simulations, case studies will set you ahead of competition.
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Reviews
Amol B
Associate Manager at Firepro SystemsSimplilearn 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.
Ravi Chandra
Package Solution Consultant (Cognos BI) at IBM Global ServicesThe training was excellent. Appreciate the trainer's capability to answer all the queries. Thanks to Simplilearn for such a good course content.
Manish Beniwal
Advisor Reporting - Global Mobility at Rio TintoI 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
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.
Why Online Bootcamp
- Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
- Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
- Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
- Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
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 Analyst certification course 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 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 Data Analytics course 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.
What are the top online Data Analyst courses provided in this Master's program?
This Data Analyst Master’s program consists of the following courses:
- Introduction to Data Analytics
- Business Analytics with Excel
- Tableau Training
- Power BI
- Programming Basics and Data Analytics with Python
- Data Science with R Programming
- Data Analyst Capstone
Will this course help me to start my career as Data Analyst?
Yes, anyone embarking on a career as Data Analyst 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.
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.