R Training Course In Mumbai

R Training Course In Mumbai

Learn R Programming by Intensive practical classroom sessions! Meul Tech offers the best R training course in Mumbai. Learn R programming with hands-on practical training. Work on industrial projects on R programming and get an easy entry into statistical analysis and data science.

WHY LEARN R PROGRAMMING WITH Meul Tech ?

R has a very steep learning curve and students often get overwhelmed.  differently!

We teach truly step-by-step. In every lecture we build on what had already learned and move one extra step forward. After every lecture you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

 

PREREQUISITES:

This course is for everyone, right from college students using R for a project to statisticians, programmers from other platforms, or pure beginners without any prior programming experience who want to become data analysts or data scientists. Only a passion to be successful!

 

COURSE MODULE:

Training Schedule – R Training Course in Mumbai
Module 1: Fundamentals Of R	Installing R and RStudio. The RStudio Interface. Installing and Activating R Packages. Setting the Working Directory. Basic Operations in R. Working With Variables.
Module 2: Vectors	Creating Vectors With the c() Function. Create Vectors Using the Colon Operator. Creating Vectors With the rep() Function. Create Vectors With the seq() Function. Creating Vectors of Random Numbers. Create Empty Vectors. Indexing Vectors With Numeric Indices. Indexing Vectors With Logical Indices. Naming Vector Components. Filtering Vectors. The Functions all() and any(). Sum and Product of Vector Components. Vectorized Operations. Treating Missing Values in Vectors. Sorting Vectors. Minimum and Maximum Values. The ifelse() Function. Adding and Multiplying Vectors. Testing Vector Equality. Vector Correlation.
Module 3: Matrices and Arrays	Creating Matrices With the matrix() Function. Create Matrices With the rbind() and cbind() Functions. Naming Matrix Rows and Columns. Indexing Matrices. Filtering Matrices. Editing Values in Matrices. Adding and Deleting Rows and Columns. Minima and Maxima in Matrices. Applying Functions to Matrices. Adding and Multiplying Matrices. Other Matrix Operations. Creating Multidimensional Arrays. Indexing Multidimensional Arrays.
Module 4: LISTS	Create Lists With the list() Function. Create Lists With the vector() Function. Indexing Lists With Brackets. Indexing Lists Using Objects Names. Editing Values in Lists. Adding and Removing List Objects. Applying Functions to Lists.
Module 5: Factors	Working With Factors. Splitting a Vector By a Factor Levels. The tapply() Function. The by() Function.
Module 6: Data Frames	Creating Data Frames. Loading Data Frames From External Files. Writing Data Frames in External Files. Indexing Data Frames As Lists. Indexing Data Frames As Matrices. Selecting a Random Sample of Entries. Filtering Data Frames. Editing Values in Data Frames. Adding Rows and Columns to Data Frames. Naming Rows and Columns in Data Frames. Applying Functions to Data Frames. Sorting Data Frames. Shuffling Data Frames. Merging Data Frames.
Module 7: Programming Structures	For Loops. While Loops. Repeat Loops. Nested For Loops. Conditional Statements. Nested Conditional Statements. Loops and Conditional Statements. User Defined Functions. The Return Command. More Complex Functions Examples. Checking Whether an Integer Is a Perfect Square. A Custom Function That Solves Quadratic Equations. Binary Operations.
Module 8: Working With Strings	Creating Strings. Printing Strings. Concatenating Strings. String Manipulation. Functions for Finding Patterns in Strings. Functions for Replacing Patterns in Strings. Regular Expressions.
Module 9: Plotting in Base R	Building Scatterplot Charts. Setting Graphical Parameters. Adding a Trend Line to a Scatterplot. Building a Clustered Scatterplot. Plotting a Line Chart. Setting the Line Parameters. Overplotting Lines and Dots. Plotting Two Lines in the Same Chart. Plotting Bar Charts. Setting the Bar Parameters. Plotting Histograms. Plotting Density Lines. How to plot Pie Charts. Plotting Boxplot Charts. Plotting Functions. Exporting Charts.
Module 10: Apply family	Introduction to the apply family. Tapply and the by command. Eapply, sapply, lapply. Vapply, replicate, mapply. Rapply and summary. Apply family exercises. Apply family solutions.
Total Training Period.	Approx 22-25 hours of training + Project Hours.
Batches	Weekends.

 

PLACEMENT GUARANTEE:

We offer 100% placement guarantee in R and that is why we are the no 1 R  training classes in Mumbai. At Meul Tech , we train students for interviews and offer placements in corporate companies.

CERTIFICATION:

At the end of the R training course in Mumbai, you will get a R Certification from us which will be very helpful for you in your future.

AWARDS:

Meul Tech has been awarded multiple times as the “Most Promising Software Training Institute in Maharashtra” and “Social Impact Award for Outstanding Contribution to Indian Education System” at Education Leadership Awards.

 

OTHER RELATED COURSES:

Meul Tech provides the best R Training in Mumbai. Along with R Training course, you can also learn,

1. Python Training in Mumbai.
2. Machine Learning(Python) Training in Mumbai.
3. Machine Learning(R) Training in Mumbai.
4. SAS Training in Mumbai.
5. Tableau Training in Mumbai.
6. Django Training in Mumbai.

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