Data Science with Python & R

About Course

At Affluenz IT Academy, our students often ask what’s the best programming language they should use for their day-to-day data analysis tasks. Our answer is that it depends on the type of data analytical challenge that they want to address.

Both Python and R, are popular programming languages for statistics.  While R has strong data visualization capabilities, Python is often praised for its easy-to-understand syntax.The best way to understand its usage is to work on various practical simulations and address them with R or Python.

We, at Affluenz IT Academy build the base of our trainees with both the programming languages and provide them real time cases to evaluate which one they need to adapt.

Key Features

40 - 80 hours of instructor led online training

2 Real-life Industry Project

Virtual Internship

Certificate of completion

Certificate of Internship

Dedicated awareness session from Industry experts

Questions On Your Mind About Our Courses

According to Forbes, the cognitive and AI systems market will achieve an impressive 37.3% compound annual growth rate (CAGR) from 2017-2022. According to New IDC Spending Guide, IDC Worldwide Spending on Cognitive and Artificial Intelligence Systems Forecast to reach $77.6 Billion in 2022. According to a survey of 2,000+ data scientists and ML developers – conducted by Developer Economics in 2017 – Python takes the prize for being the most popular programming language for machine learning. Python also has a huge number of libraries that are ready to use for ML and data analysis purposes. R has a strong Datavisualization capability and has the largest forum who provides both technical and functional support to its communities. If one has both Python and R programming language insights, she/he can master in depth Data Science concept

Affluenz IT Academy crafts this course to all who aspire to build a career in Data science & Machine learning like AI Engineer, Business Analyst, Information architect and so on. We recommend this course to:

  • Developers aspiring to be a data scientist or AI engineer
  • Analytics managers who are leading a team of analysts 
  • Business analysts who want to understand Predictive Analysis techniques
  • Information architects who want to gain expertise in Artificial Intelligence usage 
  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Graduates looking to build a career in data science and machine learning
  • Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insights

Participants in this online course should have:

  • Basics of statistics and mathematics
  • Basic Data science concepts

Our Syllabus

4 Weeks Course

  1. What is Data Science
  2. Data mining, optimization & Statistics
  3. Learning Algorithms
  1. What is R
  2. Journey of R
  3. Programming basics &Syntax
  1. R Studio Essentials – Set up & Basic overview
  2. Manipulate Package, Strings, regular and irregular time series management using RStudio IDE
  1. What is Python
  2. Journey of Python
  3. Python(NumPy) – Mathematical Computing
  4. Python(SciPy) – Scientific Computing
  1. When to use Python
  2. When to use R
  3. Key differences
  1. Assessment
  2. Live Project
  1. Certification of Completion

8 Weeks Course

  1. What is Data Science
  2. Data mining, optimization & Statistics
  3. Learning Algorithms
  1. What is R
  2. Journey of R
  3. Programming basics &Syntax
  1. R Studio Essentials – Set up & Basic overview
  2. Manipulate Package, Strings, regular and irregular time series management using RStudio IDE
  1. What is Data Visualization
  2. What is Machine Learning and how it is responsible for Data Visualization
  1. What is Python
  2. Journey of Python
  3. Python(NumPy) – Mathematical Computing
  4. Python(SciPy) – Scientific Computing
  5. Data Manipulation with Pandas
  1. Natural Language Processing with Scikit Learn
  2. Data visualization in Python using matpolib
  3. Web scrapping
  1. When to use Python
  2. When to use R
  3. Key differences
  1. Assessment
  2. Live Project
  1. Certification of Completion
  2. Internship Certificate

Pricing

Online Classroom with virtual Internship

₹ 9999
  • 3 Weeks course
  • 1 Week Live Project Internship
  • Certificate of completion
  • Certficate of Internship
Enroll Now

Online Classroom with Live Project Internship

₹ 14,999
  • 6 Weeks course
  • 2 Weeks Live Project Internship
  • Certificate of completion
  • Certficate of Internship
Enroll Now

Corporate Training

Contact
  • Self paced + Instructor Led classes
  • Flexible Pricing option
Contact Us