- Tutor is available to students
BECOME AN R PROGRAMMER
EduCBA
Summary
Overview
15 high-quality and relevant video-based Courses with 76+ hours of well designed, well-crafted study materials on R Programming, Business Analyics, Data Science, Machine Learning, Regression, Hypothesis Testing, Forecasting, Distribution, Normalization, Trend Analysis, Predictive Modeling, Fraud Detection, Neural Network, Sequential Model, Data Visualization, Data Analysis, Data Manipulation, KNN Algorithm, Decision Tree, Random Forests, Kmeans Clustering, Vector Machine, Time Series Analysis, Market Basket Analysis, Fraud analytics, Customer Analytics, Marketing Analytics, Pricing Analytics, Anova.
Learn by doing. Verifiable Certificate of Completion for Courses. Full Lifetime Access.
Let's learn how to use R programming for data science. This hands-on practical course it to learn about analytics using R, statistics using R to analyze business data.
Over the years, EDUCBA has become the training standard for professional services firms, business professionals, and undergraduate and graduate students. Our extremely practical high-quality video library of courses serve professionals and students from all the leading global firms and top Institutes.
In an average month, we train 10,000+ aspiring professionals and students for their future roles.
Description
Skills you will master
- R Programming
- Business Analyics
- Data Science
- Machine Learning
- Regression
- Hypothesis Testing
- Forecasting
- Distribution
- Normalization
- Trend Analysis
- Predictive Modeling
- Fraud Detection
- Neural Network
- Sequential Model
- Data Visualization
- Data Analysis
- Data Manipulation
- KNN Algorithm
- Decision Tree
- Random Forests
- Kmeans Clustering
- Vector Machine
- Time Series Analysis
- Market Basket Analysis
- Fraud analytics
- Customer Analytics
- Marketing Analytics
- Pricing Analytics
- Anova
Jobs you will be eligible for
- Data Analyst
- R Programmer
- Data Analyst
- Business Analyst
- Machine Learning Scientist
- Data Scientist
- Software Development Engineer
- Software Developer
- Research Scientist
- Researcher
- Machine Learning Engineer
- Machine Learning Developer
- AI Expert
- Chatbots Developer
- AI ML Engineer
- Python Developer
- Python ML Engineer
- Solution Architect
- SAS Programmer
- R&D Executive
- SAS Developer
- Applied Scientist
Questions and answers
What academic level is it accredited at ?
Answer:Our courses are skill based tutorials curated by expert industry professionals and trainers.It is not recognised by any university or firm but our course certificates are Globally recognized.
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
FAQs
Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2024. All rights reserved.