Data Science with R-Python

Data Science with Python & R continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. Data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process. Data Science with Python & R provides a vast array of tools for working with data coming from a variety of different sources, such as financial logs, multimedia files, marketing forms, sensors, and text files and various scientific methods, algorithms, and processes are used to extract insights from vast amounts of data.. An important aspect of Data Science with Python & R is the preparation of data for analysis, including cleaning, aggregating, and manipulating it to perform advanced analyses.

Data Science with Python & R @ I M R SMART Solution

I M R Certification Program

Data Science with R-Python +

“Data Science is applied to multiple data sets to collect information and project the insight to make an effective business decision”.

Data Science with R-Python Objectives

Programming Proficiency: Attain proficiency in both R and Python programming languages for efficient data manipulation and analysis.
Data Analysis Skills: Develop the ability to explore, clean, and preprocess data using R and Python libraries for practical data handling.
Machine Learning Competence: Gain a comprehensive understanding of machine learning algorithms and techniques in both R and Python for predictive modeling and analysis.
Data Visualization Mastery: Master data visualization principles and tools in both R and Python to create compelling visual representations of data.
End-to-End Project Capability: Acquire skills to integrate R and Python into complete data science projects, from data acquisition to model deployment, for real-world applications and career readiness.

Data Science with R-Python +

“A Data Scientist extracts insights from complex data sets, utilizing statistical and machine learning techniques”.

Data Science with R-Python Benefits

Versatile Skill Set: Gaining proficiency in both R and Python equips you with versatile data analysis tools for a wide range of industry applications.
Enhanced Employability: A strong foundation in Data Science with R and Python makes you a highly sought-after candidate in the job market, as these skills are in high demand.
Data-Driven Decision-Making: You can extract valuable insights from data, enabling data-driven decision-making that can lead to improved business strategies and outcomes.
Career Flexibility: With expertise in both R and Python, you have the flexibility to work in various roles, from data analyst and data scientist to machine learning engineer, adapting to your career preferences.
Competitive Edge: Mastering Data Science with R and Python gives you a competitive edge, allowing you to work on complex projects, contribute to innovative solutions, and advance your career in the rapidly evolving field of data science.

Kick-start your Data Science journey with Data Science program, aligned to competency standards in collaboration with industry . This Data Science course hands-on with technologies like R, Python, Machine Learning, Tableau, Hadoop, and Spark through our Data Science certification. Enhance your learning with our Data Science course with projects.

Data Science with R-Python Innovation

Data scientists use R and Python to develop and implement advanced machine learning algorithms, natural language processing models, and deep learning techniques, pushing the boundaries of what’s possible in areas like healthcare diagnostics, autonomous vehicles, and personalized recommendations.
R and Python libraries enable the creation of interactive and informative data visualizations, allowing businesses and researchers to explore and communicate complex data patterns effectively, leading to innovative insights and solutions.

Data Science with R-Python Job Opportunity

Data Scientist: Analyze data, build models, and generate insights to drive data-informed decision-making.
Machine Learning Engineer: Develop and deploy machine learning models for applications like recommendation systems and predictive analytics.
Data Analyst: Work with data to provide insights and assist in decision-making processes.
Business Analyst: Use data analysis to identify business trends and opportunities for improvement.
Data Engineer: Build and maintain data pipelines and infrastructure for data storage and retrieval.
Quantitative Analyst (Quant): Apply data science techniques to financial modeling and risk assessment in the finance industry.
Research Scientist: Conduct research in various domains, including healthcare, to develop innovative solutions using data science.
AI Specialist: Focus on artificial intelligence applications and research in areas like natural language processing and computer vision.
Big Data Analyst: Work with large datasets, often in distributed computing environments, to extract valuable insights.
Consultant: Offer data-driven insights and solutions to businesses as a consultant or freelancer.
Data Science Manager: Lead and manage teams of data scientists and analysts in organizations.
Data Science Instructor: Teach data science courses and share your expertise with aspiring data scientists.
AI Ethics Specialist: Focus on ensuring ethical and responsible AI and data practices within organizations.
Healthcare Data Analyst: Analyze medical data to improve patient care and outcomes.
Government Data Analyst: Work with government agencies to analyze data for policy-making and decision support.

DATA SCIENCE WITH R-PYTHON @ CERTIFICATION

DATA SCIENCE WITH R-PYTHON @ BASIC CERTIFICATION

Duration– 3 Month (12 week with 120 Contact hours + 30 hours Project)
Eligibility – Minimum Qualification 10th
Skill Required– Basic Computer Knowledge
Registration Fee – Rs. 600/-
Certification Fee – Rs. 15000 + GST

DATA SCIENCE WITH R-PYTHON COURSE MODULE

Module 1:Introduction to Python & R
Module 2:Programming in Python & R
Module 3:Data Science with Python & R
Module 4:Data Vizualisation
Module 5:Basics & Advance of SQL
Module 6:Data Analysis using Excel
Module 7: Project

DATA SCIENCE WITH R-PYTHON @ ADVANCE CERTIFICATION

Duration– 6 Month (24 week with 200 Contact hours + 30 hours Capstone Project)
Eligibility – Minimum Qualification +3 Degree
Skill Required– Basic Computer Knowledge with Programming
Registration Fee – Rs. 600/-
Certification Fee – Rs. 60000 + GST (Discounted Price Rs. 45000+GST)

DATA SCIENCE WITH R-PYTHON COURSE MODULE

Module 1:Introduction to Python & R
Module 2:Programming in Python & R
Module 3:Data Science with Python & R
Module 4:Data Vizualisation
Module 5:Basics & Advance of SQL
Module 6:Data Analysis using Excel
Module 7:Inferential Statistics
Module 8: Machine Learning
Module 9: Hypothesis Testing
Module 10:Logistic Regression
Module 11:Capstone Project

R E G I S T R A T I O N