Python with R-Programming Training Course
Industry acceptable certification for Python with R training which help fresher/Experienced to up-skill at corporate.
Industry Expert Sr. Lead Analyst / Technical Analyst With 10+ Years provide workshop session @ SLA
After completion of 70% Python with R training our dedicated placement team arrange interview till placement.
Python with R Practical Training help to gain exposure like corporate level with technical test series.
Real time projects & best case study makes SLA workshop very unique and lively for learners.
For Learner’s, Our admin team fresh batch schedule/re-scheduling classes/arrange doubt classes.
- About Python with R-Programming
- Why Learn Python with R-Programming
- Python with R Program details
R Programming is actual prevailing and simple to implement when it arises to intricate conditions. Python (Machine learning) offers techniques as an answer to rough encounters. The Business is creating a change in the direction of growing expertise and earlier ones get a better transformation of rising drive in the accomplishment ranking. SLA Consultants India offers Python with R Programming to the participants to get comprehensive knowledge of Data Science and Machine Learning. Python is a coding language known for its speed and analytical capabilities yet are based on simplicity. It is widely used by companies including Google, Buzzfeed, Bank of America, Pinterest and more. Python is a programming language recommended to people who want to enter the Big Data or data science fields. It is easy to learn, yet it is a high-level programming language is the preferred choice among web and game developers. A passionate coder-slash-statistician is a good data scientist. There can be no better programming language for a statistician to learn than R. This is a popular skill among Big Data analysts, and data scientists skilled in R Programming is sought after by some of the biggest brands, including Google, Facebook, Bank of America and the New York Times. R Programming is highly flexible and evolving. It is cross-platform compatible with Windows, Mac OS X, and Linux. It enables the import of data from Microsoft Excel, Microsoft Access, MySQL, SQLite, Oracle, and other programs. R is a powerful scripting language and can handle large, complex data sets. It is the best language to use for heavy, resource-intensive simulations and it can be used on high-performance computer clusters. In today’s data science R Programming is the major component. Along with Python fills the slit for deep and machine learning. There is an upward trend for the added skill of Python and R Programming in the industry. SLA Consultants India gives Python with R Programming Training by industry experts in the field of Data Science and Machine Learning. SLA focus on all-inclusive job oriented corporate training so that learners get a career opportunity in the respective field to be the best Data Scientist or Analyst.
Data Experts are having a bet profoundly on R as a prime element for data science. In these days Machine Learning is for Python. Analytics business is an unpredictable business and give preference to changing technology. There is an upward trend for both R Programming and Python as a combined skill set in Analytic Industry. It is also seen that organizations all across the globe are now shifting in the direction of data-driven languages and R programming from contemporary languages. As far as data science is concerned, Python is holding a good place. SLA Consultants India offers python with R programming with highly talented industry experts from respective fields. SLA Consultants India also provides the facility to the learners to get customize training as per their requirements in weekdays and on weekends. Across the globe, there is a scarcity of data scientist where Python and R as an expertise set is a preference to fill up the gap. SLA Consultants India designs the Python with R Programming Training in such a way keeping in mind both students and working professionals. It is a good way to start or explore a career in Data Science as well as in Machine Learning. This training course is designed to give participants the skills & knowledge to gain a competitive advantage in starting/enhancing a career in Python industry. The participants receive up-to-date training in many areas in Python and a thorough understanding of real-world projects. The course is provided in modules separate for Python and R Programming so that learners get a better understanding of all areas. It comprises of Basics(data types (integers, floats, strings, and Booleans) and data structures (lists, dictionaries, numpy arrays, and pandas Data Frames) in Python and how they compare to the ones in R), Control flow, Loops, and Functions, Pandas(data manipulation functions and methods), Plotting, Capstone, Understanding the working of R-Calculator, Learning the functions like Stack, Merge and Strsplit, Creating visualizations like charts and plots, Performing functions like sorting, analyzing variance and cluster, Connecting Database, Reading ODBC tables, Fundamentals of linear and logistics regression, Integrating R Programming with Big Data Hadoop and much more. SLA Consultants India gives Python with R Programming Training in web or desktop base with instructor-led classroom sessions. For a better understanding of the subject matter, SLA gives handouts, practical of concepts with the presentation, live projects with clients, and placement assistance with a guaranteed interview to the participants so that they can excel in their career as Data Scientist or Analyst.
The goal of R programming is data analysis and statistics while Python is used for deployment and production. The users of R Programming are primarily scholars, and people associated with research and development while Python is popular among programmers and developers. This course has been constituted towards the needs of current industry standards. While we will continue to emphasize our own basic academics, we are also aware that our students require Python competencies that enhance employment and income opportunities. The objective will be to continuously demonstrate the quality in the delivery of technology. This programming training course offers hands-on experience instead of only theoretical notions. Candidates will gain industry exposure as well as credibility through an end of course project work based on the real-life use case. The curriculum will shed light on all the important concepts and parameters of R.
There is a huge demand for Python and R Programming as a combination of skill set in the field of Analytic Industry.
Organizations are picking up fast on Data Science and Machine Learning Technologies creating a growing demand for such applications and programming languages.
Python is easy to use to create applications on the other hand R Programming is perfect for data management and data analysis works.
R Programming is completely free open source and widely used by the organizations for web development. Python is highly flexible, cost-efficient and does not base on complex syntax language.
Pay scale for Python with R Programming Training is very high in the global market, candidates have a better chance to augment income in the analytics industry.
Course Duration: 45 (Python) + 30(R-Prog) HRS with Highly Skilled Corporate Trainers (Python with R Training) for below Modules-Weekdays/Weekend
SLA Consultants India – Python with R Certification Training & Delivery Method:
- Web / Desktop Base.
- Instructor-Led Classroom Sessions.
- Presentations/Demonstration/Practicals of concepts.
- Handouts/Assignments/Real-time Exposure to work on Clients.
Python Training Programme Modules
Python Practical Training Course
- Python overview
- Advantages and disadvantages
- Installation and configuration
- Interpreted languages
- Python script
- Standalone scripts under Unix and Windows
- Using variables and operators
- Command line parameters
- Understanding expressions
- IF and Else If Statement
- The While and Loop statement
- Continue statement
- Break statement
- Range () function
- Using lists
- List operations and methods
- Defining functions
- Parameters and variables
- Using global statement
- Keyword arguments
- Keyword only parameters
- The return statement
- VarArgs parameters
- Dealing syntax errors
- Exception handling
- Cleaning up
- Creating modules
- The from and import statement
- Dir function
- Module name
- Importing data from different sources
- Connecting to databse
- Viewing data objects and sets
- Exporting data to other formats
- Cleansing Data With Python
- Data Manipulation
- Python Tools And In-Built Functions
- Formatting And Normalizing Data
- User Defined Functions
- Data Analysis Using Statistics And Graphical Representation
- List, Tuples, Dictionaries And Set
- Re Objects
- Pattern Matching
- Sub Expressions
- Parsing Data
- Complex Substitutions
- Projects and Assignments
- Live Training
R-Programming Programme Modules
R Programming Training Course
- Introduction to Business Analytics
- Types of Analytics
- Case study on Walmart, Signet Bank
- Data Science and its importance
- Introduction to R
- Installing R
- Installing R Studio
- Workspace Setup
- R Packages
- R Programming
- if statements
- for statements
- while statements
- repeat statements
- break and next statements
- switch statement
- scan statement
- Executing the commands in a File
- Data structures
- Data frame
- DPLYR & apply Function
- Import Data File
- DPLYP – Selection
- DPLYP – Filter
- DPLYP – Arrange
- DPLYP – Mutate
- DPLYP – Summarize
- Data visualization in R
- Bar chart, Dot plot
- Scatter plot, Pie chart
- Histogram and Box plot
- Heat Maps
- World Cloud
- Introduction to statistics
- Type of Data
- Distance Measures (Similarity, dissimilarity, correlation)
- Euclidean space.
- Cosine similarity
- Mahalanobis distance
- Pearson’s correlation coefficient
- Probability Distributions
- Hypothesis Testing
- Hypothesis Testing – T Test, Anova
- Hypothesis Testing about population
- Chi Square Test
- F distribution and F ratio
- Linear Regression Models
- Non Linear Regression Models
- Decision Tree
- Logistic Regression
- Support Vector Machines
- K-means Clustering and Case Study
- DBSCAN Clustering and Case study
- Hierarchical Clustering
- Apriori Algorithm
- Candidate Generation
- Visualization on Associated Rules
Please find the Python with R Course Duration Details. Classes & Course can be designed/customize as per request
Duration of Module
|Python with R Course Module||Python with R Course Duration|
|R Programming||30 (Hours)|
|Python with R Course Schedule||Timing|
|Monday to Friday||8:00 AM – 10:00 AM|
|Monday to Friday||10:00 AM – 12:00 PM|
|Monday to Friday||2:00 PM – 4:00 PM|
|Monday to Friday||4:00 PM – 6:00 PM|
|Saturday/Sunday||8:00 | 12:00 | 2:00 | 4:00|
|Sunday||8:00 AM – 10:00 AM|
|Sunday||10:00 AM – 12:00 PM|
|Sunday||2:00 PM – 4:00 PM|
|Sunday||4:00 PM – 6:00 PM|
Anyone who wants to make a career in the Python with R Programming or just want to upgrade your skills by learning Python should definitely join this course. Whether you are a student or an IT professional or someone who is looking to start or explore a career in the field of Analytics Industry.
Our instructors are the best industry and domain knowledge professionals with years of experience.
Undoubtedly, we are having a dedicated team for assisting you at the end of the course. The Instructor helps you build a proper resume. The Instructor will share top interview questions and answers in that specific technology. The Instructor will share some of the insights about the real world projects using this specific technology.
The course duration for R Programming is set 30 hrs. and for Python 45 hrs. is set. But the learners get the full admin support in case if learners need extra time to get acquaint with course.
It aims to cover all aspects of Python and R Programming as a combined skill set to get an all-encompassing understanding of R Programming (Data Science) and R Programming (Machine Learning).
SLA Consultants India gives Certification Training for its every course and our certificate is valid in every relevant sector.