About Data Analyst Certification Course

  • About the Data Analyst course developed in collaboration with IBM

    IBM is recognized as a Leader in the 2021 Magic Quadrant for Data Science and Machine Learning. 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 course 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 the US Inventors Hall of Fame.

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

    Upon completion of this Data Analytics training, you will receive the certificates from IBM (for IBM Data Analyst 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:

    • Masterclass by IBM experts
    • Ask me anything sessions with IBM leadership
    • Hackathons conducted by IBM
    • Industry-recognized Data Analyst Master's certificate from Simplilearn

  • What are the learning objectives?

    Simplilearn’s Data Analytics courses developed in collaboration with IBM will provide you with extensive expertise in the booming data analytics field. This Data Analyst certification training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extracts, and forecasting. Through this program, 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 training, those with a basic understanding of mathematical concepts will be able to complete the course and become Data Analyst.

     

    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 2022 World Economic Forum predicts that Data Analysts will be one of the top emerging jobs. 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 new job, and career advancement opportunities.

    The facts are that professionals who enter the Data Analytics 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 Data Analyst course is specifically designed to give you the tools you need to be successful in Data Analytics 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 projects are included in this Data Analyst course?

    This Data Analyst course includes 15+ real-life, industry-based projects on different domains to help you master concepts of data analytics and business 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

  • What are the prerequisites for this Data Analyst course?

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

  • What are the job opportunities upon completing this Data Analyst course?

    Upon completing the Data Analyst certification course, you will have the data analytics skills necessary to win your dream job. Apart from Data Analyst, other jobs titles include:

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

Tools Covered

Microsoft ExcelNumPypandasSciPypower bipythonR

Data Analyst 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.

prevNext

Data Analyst Certification Learning Path

  • Course 1

    Introduction to Data Analytics Course

    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.

    Read More
  • Course 2

    Business Analytics with Excel

    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.

    Read More
  • Course 3Online Classroom Flexi Pass

    Tableau Training

    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 by learning Tableau and how to best use this training in your work.

    Read More
  • Course 4Online Classroom Flexi Pass

    Programming Basics and Data Analytics with Python

    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.

    Read More
  • Course 5Online Classroom Flexi Pass

    Data Science with R Programming

    Simplilearn’s Data Science with R certification course makes you an expert in data analytics using the R programming language. This online R training enables you to take your Data Science skills into a variety of companies, helping them analyze data and make more informed business decisions.

    Read More
  • Course 6Online Classroom Flexi Pass

    Data Analyst Capstone

    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.

    Read More
  • Master's Program Certificate

  • Electives

    Power BI

  • 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 Data Analyst certificate

Our Data Analyst course 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 Analytics skills you've gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement

Talk about your Data Analyst certification on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.

Data Analyst Certificate

Data Analyst Course Reviews

  • Ravi Chandra

    Ravi Chandra

    Package Solution Consultant (Cognos BI) at IBM Global Services

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

  • Manish Beniwal

    Manish Beniwal

    Advisor Reporting - Global Mobility at Rio Tinto

    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.

  • Amol B

    Amol B

    Associate Manager at Firepro Systems

    Simplilearn is an awesome learning platform. The course content is very well designed, and the live classes have personal attention in resolving the doubts. Thanks, 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.

prevNext

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

Data Analyst Training FAQs

  • What is Data Analyst?

    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 program.

  • 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 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.

  • What industries use Data Analysis most?

    Some of the top industries using data analysis include Data Assurance, Retail, Finance, Entertainment, Government and Public sector, Higher Education, Sharing economy services, Sales & Marketing, Agriculture, Business Intelligence, Healthcare, and Data Quality. With the data analyst training, you can develop job-ready skills to start in this in-demand career.

  • Which companies hire a Data Analyst?

    There is undoubtedly great demand for data analytics as 96% of organizations seek to hire Data Analysts. The most significant data analyst companies that employ graduates who wish to have a data analyst career are Manthan, SAP, Oracle, Accenture Analytics, Alteryx, Qlik, Mu Sigma Analytics, Fractal Analytics, and Tiger Analytics. Professional data analyst training will make you become a magician of any organization, and you will spin insights by playing with big data.

  • Will this Data Analyst course help me to become a Data Analyst?

    The curriculum of Simplilearn's Data Analyst course covers concepts, tools, and methodologies for guiding the growth and transformation of an organization – much beyond fundamental data analysis and statistics. Consider our data analyst certification to get essential data analytics expertise and quickly get your entry-level data analyst job.

  • What major skills do you need to become a Data Analyst?

    Many analyst roles are pretty nuanced, and therefore, it is hard to determine which skills are needed significantly. Data Analyst certification is an increasingly worthwhile investment and helps you secure the right skills with better pay. However, some of the top skills for data analysts are:

    • Structured Query Language (SQL)
    • MATLAB
    • R or Python-Statistical Programming
    • Microsoft Excel
    • Data Visualization
    • Data Cleaning
    • Presentation Skills
    • Critical Thinking
    • Machine Learning
    • Linear Algebra and Calculus

  • What kind of careers can you pursue with a background in Data Analysis?

    Career openings are available practically from all industries, from telecommunications to retail, banking, healthcare, and even fitness. Without extensive training and effort, it isn't easy to get data analyst career benefits. So, earning our Data Analyst certification will allow you to keep up-to-date on recent trends in the industry.

  • Can a fresh graduate seek employment after completing this Data Analyst course?

    Because the profession is vital to business development, most companies require a data analyst, and new graduates also have excellent job opportunities. If you aim to become more competitive, then it is worth earning the Data Analyst certification. Explore your educational opportunities and start creating a solid basis for data analyst skills.

  • What are the eligibility criteria for the Data Analyst course?

    The Data Analyst course is best suited for aspiring professionals of any educational background with a framework, including:

    • IT experts
    • Professionals of banking and finance
    • Marketing managers
    • Sales representatives
    • Supply chain network managers
    • Freshers in the field of data analytics
    • Students in UG/PG courses

  • What are the prerequisites for pursuing this Data Analyst course?

    Professionals who would like to successfully complete this data analyst course should have the basic mathematical knowledge and problem-solving skills.

  • How do I become a Data Analyst?

    This Data Analytics certification course developed in collaboration with IBM will give you sufficient insights into data analysis 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 the average salary of a Data Analyst?

    Although data analysts are well-paid worldwide and exponential data analyst's demand will never decline, data analysts' salaries vary in different sectors and nations. Data analysts' salaries depend on their skills, experience, company & location. Our Data Analyst certification helps you achieve a higher salary, expertise, and skills to succeed in this lucrative growing profession. The average annual salary in top countries is:

  • 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 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.

  • What are the top online Data Analytics courses provided in this certification program?

    This Data Analyst certification program consists of the following courses:

  • 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.

  • Why should I consider starting a career as a Data Analyst?

    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.

  • What programming knowledge is necessary for this Data Analyst certification training?

    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.

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

    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 course is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.

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

    Upon completion of this Data Analyst training, 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 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)
    • Industry-recognized certificates from IBM (for IBM – Data Analytics courses) and Simplilearn upon successful completion of the program
    • 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:

    • R Programming for Data Science
    • Data Analytics with Python

  • Is this Data Analytics course conducted online? Do I need to attend any physical classes?

    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.

  • What are the job opportunities after completing this Data Analyst course?

    The best part about stepping into the data analysis profession is that it offers many job opportunities to choose from. Earning a Data Analyst certification opens doors to various job roles, namely Data Analytics Manager/Lead; Business Analyst/Senior Business Analyst; Business Intelligence Analyst; Business Intelligence Engineer; and various managerial roles.

  • What skills do I need to be a Data Analyst?

    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.

  • 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

  • Do I need to complete the Data Analytics courses in a specific order?

    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.

  • What will I be able to do upon completion of Data Analyst training?

    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.

  • How do I enroll for the Data Analyst course?

    You can enroll in this Data Analyst certification 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 Data Analytics courses. 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 will teach Data Analyst course?

    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.

  • What is Global Teaching Assistance?

    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.

  • 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 Data Analytics course with us.

  • Do you offer any university partnered program in Data Analytics?

    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.

  • What book do you suggest reading for Data Analysis?

    It's essential for potential and existing data professionals to stay updated with the latest trends with the industry's most relevant data analyst training and informational material. The books below allow any reader to grasp the power and use of data.

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

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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.

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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.

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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.

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It's essential for potential and existing data professionals to stay updated with the latest trends with the industry's most relevant data analyst training and informational material. The books below allow any reader to grasp the power and use of data.

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