Data Science with R Certification Training Course
Data Science with R is an open source programming language that is widely used for tackling with data science related tasks in everyday business situations. This course on Data Science with R Programming will enable you to gain expertise in various data analytics techniques using R. Learn big data concepts, advanced analytics, creation of data sets, statistical modeling, and a lot more. Upon completion of the course, you will be successfully able to carry out the highest quality data analysis using R.
Live Online Training
- 56 Hours of instructor led live training on weekends
- Hand-on practice on 10 real life case studies
- Access to LEAP - our analytics learning platform
- Personal attention from faculty
- Performance evaluation
- Internship opportunity to work on dash-boarding & insight generation projects
Self Paced Course
- 56 Hours of self learning
- Practice exercises and assignments to enhance skills
- Faculties from IIT/IIMs with rich industry experience
- Full access to video lectures for self paced learning
- 100% moneyback guarantee
- Placement assistance
- Weekend Exam Prep Training Classes
- 180 days of access to high-quality Self-paced learning content
- Globally recognized industry experts Trainers
- Mentorship from Industry Experts
(Certifications: R, SAS, Python & Excel)
Jaydeep has 11+ years of experience in building analytical solutions & digital strategy for large organization. He has helped over 30 global organizations transform their business using analytics across retail, banks, NGOs, DTH, Telecom & CPG. He has rich experience of conducting analytics training for over 4000 hours in the last 5 years. He has conducted classroom training and online training in India & abroad, where he has consistently recorded very high training feedback ratings. He is the winner of Dunnhumby India Hackathon & several other international data science competition.
- It’s open source. No need to pay any subscription charges.
- The community support is overwhelming. There are numerous forums to help you out.
- Availability of instant access to over 7800 packages customized for various computation tasks.
- The style of coding is quite easy.
- Get high performance computing experience ( require packages)
- One of highly sought skill by analytics and data science companies.
Data Science with R?
Who should join Data Science with R Certification Training Course?
- Student (UG/PG) and want to build data science skills to become data scientist
- IT professional looking for a career switch to data science and analytics
- Job seeker who wants to start a career in data science
- Analtyics/Data Science professional who wants to learn advanced modeling techniques
- Enthusiast who has genuine interest in data science and wants to grow his skills
- Completion and submission of at least 5 projects/case studies
- Attend at least 85% of the sessions
- Clear the final online test by minimum 60%
Introduction to type of data variables, data summarization techniques, building a data dictionary, univariate analysis, bivariate analysis, outlier treatment, missing value treatment.
Measures of central tendency. Measures of dispersion. Range. Skewness. Interpretation of histograms. Research methodologies.
Basics of probability theory. Bayes Theorem. Probability distribution functions - Uniform, Bernoulli, Binomial, Normal, Log Normal, T. Continous probability distributions. Hypothesis testin - 1 Sided tests, 2-Sided tests. F test. T test. Chi Sq Test. ANOVA.
R overview. Installation. Packages & walkthrough. Data structures (Vector, array,factors, data frames, lists). Vector calculation. Arithmetic & logical operators. Subsetting. Missing, indefinite & infinite values.
For loops. While loops. Nested loops. Disadvantage of using loops. Alternates to loops.
Understand the structure of function. Build your own function. Usage of parameters and default values. Usage of return.
How to search & choose a new package. Package installation & updates. Help and learn. Access package functions. Hack a function. Build your own package.
Save, load & delete objects.
Import & export from Excel. Import & export from MySQL. Import & export from text file. Export to image & PDF. Present output in HTML webpage.
Sort & rank. Data Aggregation. Merging.
Apply, Lapply, Tapply, By, Replicate functions. Dplyr. Tidyr.
Plot function. Changing parameters. Drawing basic charts. Adding chart elements.
Qplot, Ggplot, Maps.
Introduction to linear regression technique & its uses. Details of ordinary least squares estimation technique. Modeling steps. Variable handling. Model statistics interpretation. Validation of linear regression assumptions. Metrics to measure model performance.
Introduction to logistic regression technique & its uses. Maximum likelihood estimation technique. Modeling steps. Dependant variable definition. Variable handling. Weight of Evidence & Information Value. Variable reduction. Model statistics intepretation. Metrics to measure model performance.
Learn basic concepts of time series modeling. Basic techniques for forecasting. Smoothing techniques. Decomposition. Understanding the fundamentals of ARIMA. ARIMA modeling, model estimation & interpretation. Forecasting with regression and time series data. ARIMAX or dynamic regression models to build forecasting models with multiple regressors.
Introduction to clustering. Types of clustering & their uses. K-Means clustering. Hierarchical clustering.
R programming is being adopted by most of the statistical and analytics professionals worldwide.A large number of opportunities opening up in Big Data require knowledge of programming in R. Understanding of using R packages and programming in R can significantly improve your job prospects and career growth in Data Analytics.
There is a plethora of opportunities opening up in Big Data Analytics and having R programming knowledge is a big plus. Starting as a Programmer, you can move on to roles as a Business Analyst and move on to a Data Scientist role. Apart from this, there are other Data Engineering roles including Data Administration.
This course is ideal for engineers, scientists, researchers, and business analysts who are keen to grow their career in Big Data and Analytics.
You will be able to comprehend Big Data concepts, Industry use cases, significance of using R in Big Data Analysis and perform Advanced Analytics, Data Mining and Data Visualization.
R packages are pre-built packages using R programming language and developed by other experienced statistical programmers who are part of the R language open source community. You can reuse these packages on your data for solving your statistical problems.
Hadoop is also an open source Big Data technology primary dealing with storing and retrieving data from distributed clusters. Using R, you can bring data from both HDFS file system and HBase database subsystems in Hadoop and perform Big Data Analytics using R packages.
There are numerous ways to enhance your Analytics skills set. You can consider our Business Analytics Certification Training , HR Analytics Course , Base SAS Certification Course, Advanced SAS Certification Course , and Big Data and Hadoop Certification Course.
Yes, R being open source software, it is available to you free of cost and is available on multiple platforms. You can download the appropriate installable based on your platform from R official website.
Classroom & Online instructor led. Classroom sessions are held at multiple training centres located in Delhi-NCR region. Live online sessions are conducted through our "Virtual Classroom". This will allow you to attend the course remotely from anywhere through your desktop/laptop/tablet/smartphone. Video recording of each session is provided at the end of live session.
No, you don’t need to have a programming background to learn analytics. The program has been designed in a way that it starts from scratch and makes it easier to learn for everyone.
You can attend the missed session, in any other live batch. You can also use the video recording of the session you missed.
We are committed to getting you placed. All our courses include - Real life projects + Internship + Certificate + Interview QnA + Resume building & sharing + Job search guidance + Interview call assistance.
You can retake a class as many times as you wish across multiple batches. Also, we conduct separate doubt clearing sessions to help our students. We make sure that you understand all the concepts and are able to build solutions.
Yes, we have a 100% money back policy which allows you to cancel your enrollment after the first two classes (before third class). If you are not satisfied from the program, all your money will be refunded back to you.