Data Science with R
24 hours of video training
22 hours of hands-on practical experience
Training by Industry expert
Notes / Interview questions / Practice material
Full Lifetime access
Accessible on Website and App
Certificate of Completion
7 Days 100% Money Back Guarantee
Viewing Time: 100 Hours
Quality education now comes with an affordable price tag.
Are you looking to get or upgrade technical skills? Is your promotion still due?
Are you looking to upskill yourself, but the training programs cost a hell lot more than your expectations?
If the answers to any of these is a yes, join Learnoa!
Learnoa presents Instructor-Led self-paced comprehensive technology training programs.
We give you the same experience as of a LIVE INSTRUCTOR-LED TRAINING PROGRAM.
We give you the same quality as of a LIVE INSTRUCTOR-LED TRAINING PROGRAM.
You get the same experience and quality at a far lesser cost, with Learnoa!
We also arrange for doubt clearing sessions with instructors, on learner’s requests.
A quality education now comes with an affordable price tag. Isn’t it wonderful?
Why should I take this training?
Data science is no less than an evolutionary step in the fields that relate to more than one branch of knowledge and consolidates computer science, insights, and modeling. To take total advantage of these opportunities, you need an organized training with educational modules that are according to the current industry prerequisites and best practices.
Other than solid theoretical understanding, you have to take a learn from different genuine projects that utilize several tools from different orders to accumulate an information set, process and get bits of knowledge from the information set, get valuable information from the set, and decipher it for essential decision-making purposes.
Average salary for a DevOps professional is approximately $128,372 per year or approximately Rs. 89,86,040 per annum (Indeed Salary Data).
Data science is an "idea to bind together insights, data analysis and their related strategies" to "comprehend and investigate real wonders" with information. Data Science training program from LearnOA utilizes procedures and hypotheses that are drawn from numerous fields inside the expansive territories of maths, statistics, data science, and software engineering from the sub-spaces of AI, classification, information mining, & databases. This Data Science certification training program empowers you to acquire information of the whole life cycle of Data Science, investigate and picture diverse informational collections, distinctive Machine Learning Algorithms like Decision Trees, K-Means Clustering, Naive Bayes and Random Forest.
With the help of LearnOA’s Data Science with R training program, you will be able to gain access to high-quality eLearning content on Linear Algebra, Statistics and Probability, Machine Learning ALgorithms, Advanced Machine Learning like Gradient Boosting and Neural Networks, Natural Language Processing, Deep Learning Fundamentals, etc. and other resources. Along with all this, you will be made aware of various case-studies which have been set as examples of excellent use-cases of Data Science and its proven advantages that will make sure that you follow the right path and become a data scientist.
What will you learn?
- Learn about the various R libraries like Dplyr, Data.table used to manipulate data
- Work on data preparation, data manipulation, data exploration and optimization techniques.
- The use of R graphics libraries
- Work with different data formats like XML, CSV, etc.
- To understand the nature of data
- Data Mining techniques and their implementation
- Evaluate data using Machine Learning algorithms in R
- Tools and techniques for Data Transformation
- Master the concepts of Deep Learning
- Natural Language Processing and Information Extraction
- Business Intelligence and Visualization through QlikSense
What else you will get?
Along with the training content, you will also get everything which is applicable from the following on this program:
- Codes Snippets
- Sample Programs
- Informational PPTs
- Installation and Configuration Guidelines
- Class Notes
- Interview Questions
- Useful links
- Case studies
- Real-life examples
|Overview Of Data Science Certification Training | Learnoa||Preview|
|Linear Algebra - Types & Operations Of Matrices, Installation Of R Studio|
|R Studio – Working on R Studio with Matrices Examples|
|Determinants, Properties, Inverse of Matrix|
|Basics of R programming.|
|R Programming- If Condition/If Else/ If Next/ Loops|
|Functions, Factors, List|
|Factors Continued, DataFrames|
|Basic Graphics in R Studio|
|Statistics - Introduction & Examples|
|Descriptive Statistics- Introduction ,Goals & Methods|
|Bernoulli Trials & Distribution|
|Estimation, Regression & Correlation|
|Types of data mining techniques|
|Linear Regresssion in R|
|LApply & SApply|
|Types of Matrices in Machine Learning Documentation|
|Classification Technique - Random Forest|
|OOB Error Rate|
|K Means Clustering|
|Introduction To Natural language Processing|
|Natural Language Processing Continued|
|Tokenizing Words & Sentences With NLTK|
|Text Classification with NLTK, Converting Words to Features with NLTK|
|(Chapman _ Hall_CRC The R Series) Deborah Nolan, Duncan Temple Lang-Data Science in R_ A Case Studies Approach to Computational Reasoning and Problem Solving-Chapman and Hall_CRC (2015)|
|Basics of R Programming|
|Linear Algebra 2|
|Natural Language Processing tutorial series|
|Pre-requisites Course_online IT lec1|
Who should take this training?
Supply Chain Network Managers
Banking and Finance professionals
Fresh Graduate who aspire for a career in Data Analytics
There are no specific prerequisites for this program, but if you adore arithmetic, it will be advantageous for you to learn Data Science.