"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
Being a data scientist in the tech industry is one of the most rewarding careers on the planet today. I went and studied actual job descriptions for data scientist roles at tech companies and I distilled those requirements down into the topics that you'll see in this course. Data Science and Machine Learning are really comprehensive. We'll start with a crash course on Python and do a review of some basic statistics and probability, but then we're going to dive right into over 60 topics in data mining and machine learning. That includes things such as Bayes' theorem, clustering, decision trees, regression analysis, experimental design; we'll look at them all. Some of these topics are really fun. If you're a software developer or programmer looking to transition into a career in data science, this course will teach you the hottest skills without all the mathematical notation and pretense that comes along with these topics. We're just going to explain these concepts and show you some Python code that actually works that you can dive in and mess around with to make those concepts sink home, and if you're working as a data analyst in the finance industry, this course can also teach you to make the transition into the tech industry. All you need is some prior experience in programming or scripting and you should be good to go.
Usharani, Sreeprada, Prasanth, Shrivastav
Dr.Yelepi UshaRani received her B.Tech degree in Information Technology from Acharya Nagarjuna University , Guntur, Andhrapradesh and M.Tech in Software Engineering from Jawaharlal Nehru Technological University, Hyderabad,Telangana, and Ph.D in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad,Telangana. She has 17 years of experience in teaching and research. Published around 14 SCI and SCOPUS,WOS International Journals, 6 International and National Conferences, two patent. She is currently working as Assistant Professor in the Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Bachupally,Nizampet(SO),Hyderabad-500090, affiliated to Jawaharlal Nehru Technological University, Hyderabad.
Mrs. V. Sreeprada is working as a faculty in computer science in Vasundra Degree and P.G College for women. She has 12 years Of teaching experience. She is presently pursuing her PhD in Data mining From GITAM University. She has published 7 research articles in highly Reputed journals. She attended various national and international Conferences. She taught various subjects such as Programming languages, Computer Networks, DBMS, E Commerce,Web programming, and Data mining.
Dr. A. Prasanth received the B.E. degree in Electronics and Communication Engineering from Anna University, Chennai and the M.E degree in Computer Science and Engineering (with specialization in Networks) from Anna University, Chennai and also received the Ph. D degree in Information and Communication Engineering from Anna University, Chennai, India. He is currently working as an Assistant Professor at Sri Venkateswara College of Engineering, Sriperumpudur, Tamilnadu, India. He has published more than 35 research articles in reputed International Journals among which 10 articles are indexed in SCI and 15 articles are indexed in Scopus. He has published 4 patents in IPR cell.
Dr. A. K. Shrivastav, Asstt. Professor, Department of Mathematics, School of Basic and Applied Science, RIMT University, Fatehgarh Sahib Punjab. He has published more than 18 research articles in reputed International Journals among which 1articles are indexed in SCI and 11 articles are indexed in Scopus. He has published 4 patents in IPR cell. He has served as Editorial Board Member in various reputed Journals. He has successfully guided two research scholars under his supervision.
