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Learn Data Science With R . 15+ Live Projects . 5 Major Projects and 10 Minor Projects
Duration : Duration : 100 Hrs | 5 Major Projects | 10 Minor Projects | 100 + Assignments
Data Sets , installations , Interview Preparations , Repeat the session until 6 months are all attractions of this particular course
Trainer :- Experienced Data Science Consultant
Data Science R course effectively covers Data analytics, statistical predictive modelling and machine learning through various practical examples and projects This course does not require a prior quantitative or mathematics background. It starts by introducing basic concepts such as the mean, median mode etc. and eventually covers all aspects of an analytics (or) data science career from analysing and preparing raw data to visualizing your findings. If you’re a programmer or a fresh graduate looking to switch into an exciting new career track, or a data analyst looking to make the transition into the tech industry – this course will teach you the basic to Advance techniques used by real-world industry data scientists.
DATA PREPARATION
This course Start with introduction to Data Science and Statistics using R Language. It covers both the aspects of Statistical concepts and the practical implementation using R Language. If you’re new to Programming, don’t worry – the course starts with a crash course to teach you all basic programming concepts. If you’ve done some programming before or you are new in Programming, you should pick it up quickly. This course shows you how to get set up on Microsoft Windows-based PC’s; the sample code will also run on MacOS or Linux desktop systems.
Analytics: Using Spark and Scala you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Data frames to manipulate data with ease.
Machine Learning and Data Science : Data Science With R course effectively covers Data analytics, statistical predictive modelling and machine learning through various practical examples and projects
Real life examples: Every concept is explained with the help of examples, case studies and source code wherever necessary. The examples cover a wide array of topics and range from A/B testing in an Internet company context to the Capital Asset Pricing Model in a quant finance context
Introduction to Data Science With R
Data Importing / Exporting
Data Manipulation
Data Analysis – Visualization
Introduction To Statistics
Predictive Modelling
Data Exploration For Modeling
Data Preparation
Candidates from various quantitative backgrounds, like Engineering, Finance, Maths, Statistics, Business Management who want R training with detailed focus on Data Science and Machine Learning applications.
Course completion certificate and Global Certifications are part of our all Master Program
Course completion certificate and Global Certifications are part of our all Master Program
Radical Technologies is truly progressing and offer best possible services. And recognition towards Radical Technologies is increasing steeply as the demand is growing rapidly.
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Excellent quality content! It's a great introductory course that really gets you interested in Data Science. I would highly recommend it to anyone curious in learning about what Data Science is about.
Course Provider: Organization
Course Provider Name: Radical Technologies
Course Provider URL: https://radicals.in/
Radical Technologies is a recognized leader in training of Administrative and Soft ware Development courses since 1995 to empower IT individuals with competitive advantage of exploiting untapped jobs in IT sector