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Data Science & Bigdata course in hyderabad - Digitalnest

We are incepted on a mission of rendering the Best Big Data Analytics Training and Data Science Training in Hyderabad, India. Our customized Big Data Course Training and Data Science and Machine Learning Training Essentials are curated by subject matter experts who have a great hands-on experience in the IT Industry. This renders the students with an explicit learning and hands-on experience for pursuing a career in Hadoop Development Tools, Spark Development, Big Data Analytics, Data Science Development, Artificial Intelligence, Data Visualization, statistics and analysis.<br>More Info:<br>http://www.digitalnest.in/big-data-data-science-course-training-madhapur-hyderabad-india/

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Data Science & Bigdata course in hyderabad - Digitalnest

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  1. Digital Marketing Course Big Data and Data Science Course

  2. We have specially createdData ScienceandBig Datacourses with the help of industry experts to guide aspiring students and working professionals pursue successful careers in a fascinating data world.

  3. Data Science and Big Data are the two terms commonly referenced in all literature while discussing the potential benefits of enabling data driven decision making. Importantly these latest trends are creating new job opportunities and the demand for the people with right set of data skills is on the rise. In order to meet the growing need for Big Data and Data Science talent, we are witnessing the emergence of training programs across worldwide universities, MOOCs and other niche analytics institutes. Though these courses fall under the broad category of the data analytics field, some major differences exist between them in terms of technologies involved and the vast possibilities of end applications. Data Science course involves the execution of different phases of analytics projects such as data manipulation, visualization and predictive model building using R software. This course also provides training on general programming with R, using in-built data objects and also on writing custom functions and programs.

  4. On the other hand, the Big Data course majorly deals with processing and analyzing massive amounts of data using Hadoop technology. Traditional database systems fall short in dealing with Big Data effectively and thus adoption of NoSQL based systems such as Hadoop and others across many industry verticals is increasing. Apart from providing both theoretical and hands on aspects of working with Hadoop, this course also covers performing data analysis using software’s such as R and Tableau. One other key modules of the Big Data course would be on integration of R and Tableau with Hadoop cluster to make best of both the worlds. In Hadoop infrastructure enables smooth handling of big data whereas R and Tableau in built functions help in generating insights from data through summary statistics, dashboards, and visualizations. In the next sections, I will discuss in more detail about some of the key differences between Data Science and Big Data courses in terms of tool exposure, coverage of topics related to statistics and advanced analytics. Additionally various aspects related to the course choice in terms of career fit will be discussed including comparisons of the existing Big Data course offered by EMC and ClouderaHadoop certification.

  5. How do Data Science and Big Data courses differ from each other? To better understand the differences between these courses, one should try to look at some of the key dimensions such as the kind of tools and technologies that can be learnt and the extent of big data concepts that will be covered in each of them. Building a comprehensive working knowledge and expertise around various analytical and database tools is a key step to excel in Big Data and Data Science fields. The Data Science course is entirely taught in R software which is an open source statistical programming language and one of the essential tools that are a part of any Data Scientist’s Tool Kit. Due to its extensive package repository around statistical and analytics applications, R is tremendously growing in popularity around the world and many firms are on the lookout for R programmers. Take a look at what some of our students have to say about theData Science course.

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