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Data Analytics Using R | Introduction To Data Analytics | Data Analytics For Beginners | Simplilearn

In this Data Analytics with R presentation, you will understand why Data Analytics is needed, what Data Analytics is, the Data Analytics Lifecycle, the types of Analytics, the various benefits of using R, and finally, a hands-on demo on Data Analytics. Data analytics is a process to extract meaningful insights from data such as hidden patterns, unknown correlations, market trends, and customer preferences. It is widely used in every company across the globe to derive crucial insights from the generated data. Here, you will understand how to analyze a dataset and discover the hidden patterns using the programming language R. So, let's get started!<br><br>Why become Data Analyst?<br>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 todayu2019s 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. <br><br>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.<br><br>Who should take up this course?<br>Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Masteru2019s Program, including:<br>1. IT professionals<br>2. Banking and finance professionals<br>3. Marketing managers<br>4. Sales professionals<br>5. Supply chain network managers<br>6. Beginners in the data analytics domain<br>7. Students in UG/ PG programs<br><br>Learn more at https://www.simplilearn.com/data-analyst-masters-certification-training-course<br>

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Data Analytics Using R | Introduction To Data Analytics | Data Analytics For Beginners | Simplilearn

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  1. Data Analytics with R

  2. What’s in it for you?

  3. What is CISSP? What’s in it for you? Why Data Analytics What is Data Analytics Data Analytics Lifecycle Types of Analytics Benefits of using R Demo

  4. Data Analytics with R Click here to watch the video

  5. Why Data Analytics?

  6. What is CISSP? Why Data Analytics? Data generation has increased by leaps and bounds in the last decade. Companies use all the generated data to make crucial decisions that can either hamper or boost their business

  7. What is CISSP? Why Data Analytics? Raw data is not of any use to us; hence it is required that all the data generated is stored well, processed and analysed in order to gain meaningful insights from it

  8. What is CISSP? Why Data Analytics? To do this job, we use data analytics! Raw data is not of any use to us; hence it is required that all the data generated is stored well, processed and analysed in order to gain meaningful insights from it

  9. What is Data Analytics?

  10. What is CISSP? What is Data Analytics? Data analytics is a process to extract meaningful insights from data such as hidden patterns, unknown correlations, market trends and customer preferences. This is done by studying and analyzing the procured data

  11. Data Analytics Lifecycle

  12. What is CISSP? Data Analytics Lifecycle Discovery The team assesses the available resources, understands the business problem, and gathers the right data

  13. What is CISSP? Data Analytics Lifecycle Discovery Here, the data is cleaned, manipulated and visualized to make it ready for analysis Data Preparation

  14. What is CISSP? Data Analytics Lifecycle Model Planning Discovery In this step, the team decides the methods to build a model. Key variables and most suitable models are finalized here Data Preparation

  15. What is CISSP? Data Analytics Lifecycle Model Planning Discovery Based on the previous phase, models are executed here. Datasets for training and testing are developed Data Preparation Model Building

  16. What is CISSP? Data Analytics Lifecycle Model Planning Discovery Results The results of the project are gauged based on the business goals developed in the first phase Data Preparation Model Building

  17. What is CISSP? Data Analytics Lifecycle Model Planning Discovery Results Finally, the team documents the reports, codes and findings in this phase Data Preparation Operationalize Model Building

  18. Types of Analytics

  19. What is CISSP? Types of Analytics Taking the example of google maps, lets understand the different types of data analytics

  20. What is CISSP? Types of Analytics – Descriptive Analytics In descriptive analytics, past data is summarized into a form that is interpretable by humans With the help of descriptive analysis, by looking into the map you get an idea as to what is happening?

  21. What is CISSP? Types of Analytics – Predictive Analytics This type of analytics looks into the historical and present data to make predictions of the future Predictive analytics gives the traffic information and helps you gain an insight into what could happen

  22. What is CISSP? Types of Analytics – Prescriptive Analytics Prescriptive analytics prescribes the solution to a particular problem When you wonder what you should do, prescriptive analytics helps you in choosing a navigation route

  23. Benefits of using R

  24. What is CISSP? Benefits of using R Let us understand the reason why R is chosen for data analysis :

  25. What is CISSP? Benefits of using R Let us understand the reason why R is chosen for data analysis : R is an open source programming language, hence there is no requirement for a license to work with R

  26. What is CISSP? Benefits of using R Let us understand the reason why R is chosen for data analysis : R does not require you to have a coding experience. Various statistical models can be written in a few lines

  27. What is CISSP? Benefits of using R Let us understand the reason why R is chosen for data analysis : R can be used with other programming languages such as Java, C++, and Python. This makes R very compatible

  28. What is CISSP? Benefits of using R Let us understand the reason why R is chosen for data analysis : Various statistical models are readily available in R. With the help of inbuilt packages, reporting the results of an analysis becomes easier

  29. Note to instructor: Please refer to the Demo document Demo

  30. Join us to learn more! simplilearn.com Note to instructor: Before wrapping up the session, please mention “To know more about R refer to the video above” as there will be related videos coming in the card UNITED STATES Simplilearn Solutions Pvt. Limited 201 Spear Street, Suite 1100 San Francisco, CA 94105 Phone: (415) 741-3319 INDIA Simplilearn Solutions Pvt. Limited #53/1C, 24th Main, 2nd Sector HSR Layout, Bangalore 560102 Phone: +91 8069999471 UNITED STATES Simplilearn Solutions Pvt. Limited 801 Corporate Center Drive, Suite 138 Raleigh, NC 27607 Phone: (919) 205-5565

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