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Data Science

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... 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

Data Science Course

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

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.

flag Objectives

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    Programming Proficiency: Attain proficiency in both R and Python programming languages for efficient data manipulation and analysis.
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    Data Analysis Skills: Develop the ability to explore, clean, and preprocess data using R and Python libraries.
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    Machine Learning Competence: Gain a comprehensive understanding of machine learning algorithms.
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    Data Visualization Mastery: Master data visualization principles and tools in both R and Python.
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    End-to-End Project Capability: Acquire skills to integrate R and Python into complete data science projects.

star Benefits

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

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    Versatile Skill Set: Gaining proficiency in both R and Python equips you with versatile data analysis tools.
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    Enhanced Employability: Makes you a highly sought-after candidate in the job market.
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    Data-Driven Decision-Making: Extract valuable insights from data, enabling robust business strategies.
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    Career Flexibility: Flexibility to work in various roles, from data analyst to ML engineer.
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    Competitive Edge: Work on complex projects and contribute to innovative solutions.

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 Job Opportunities

Data Scientist: Analyze data, build models, and generate insights.
Machine Learning Engineer: Develop and deploy machine learning models.
Data Analyst: Provide insights and assist in decision-making processes.
Business Analyst: Identify business trends and opportunities.
Data Engineer: Build data pipelines for storage and retrieval.
Quantitative Analyst: Financial modeling and risk assessment.
Research Scientist: Develop innovative solutions using data science.
AI Specialist: NLP and computer vision applications.
Big Data Analyst: Extract insights from distributed computing environments.
Consultant: Offer data-driven insights as a consultant/freelancer.
Data Science Manager: Lead data scientist teams.
Data Science Instructor: Teach data science courses.
AI Ethics Specialist: Ensure responsible AI practices.
Healthcare Data Analyst: Improve patient care via medical data.
Government Data Analyst: Analyze data for policy-making and decision support.

DATA SCIENCE WITH R-PYTHON @ 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

Course Modules:

01 Intro to Python & R
02 Programming in Python & R
03 Data Science with Python & R
04 Data Visualization
05 Basics & Advance of SQL
06 Data Analysis using Excel
07 Project

ADVANCE CERTIFICATION

Register Now app_registration

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

Course Modules:

01 Intro to Python & R
02 Programming in Python & R
03 Data Science with Python & R
04 Data Visualization
05 Basics & Advance of SQL
06 Data Analysis using Excel
07 Inferential Statistics
08 Machine Learning
09 Hypothesis Testing
10 Logistic Regression
11 Capstone Project

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Admission Open for the Academic Session 2026-27

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