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Data Science Course Training - Placement assistance

Prepare yourself for a thriving career in Data Science. This course is tailored for individuals aspiring to master the essentials of data science, focusing on practical skills, industry applications, and career readiness.

What You'll Learn:

Master key concepts in Data Science including data manipulation, analysis, and visualization.Develop proficiency in machine learning algorithms and their practical applications.Hands-on experience with real-world data science projects.Learn industry-relevant tools for data analysis and machine learning.Understand the application of data science in diverse industries.Explore career opportunities and continuous learning resources in Data Science.

Program Highlights:

Top Notch Faculty
Best Course Content
Real Life Projects
Job Readiness
Practical Exercises
Animated Explanation
1:1 Doubt Support
LMS Access

Who can join this Course?

Students and professionals aiming for a career in Data Science.Individuals interested in mastering data manipulation, analysis, and machine learning.Anyone seeking practical experience in real-world Data Science projects.Aspiring Data Scientists looking to understand industry tools and applications.Those eager to explore career opportunities in Data Science.

Prerequisites:

  • Basic Programming Knowledge: Familiarity with the basics of programming concepts.
  • Mathematics Basics: Understanding of basic mathematical concepts.

Tools and Technologies Covered:

PythonNumPyPandasMatplotlibScikit-learnJupyter NotebooksGitGitHubVS CodeStreamlitWeb Scraping

Outcomes:

Proficiency in key Data Science concepts including data manipulation, analysis, and visualization.Mastery of machine learning algorithms and their practical applications.Hands-on experience with real-world Data Science projects.Competence in using industry-relevant tools for data analysis and machine learning.Understanding the application of Data Science in diverse industries.Prepared for placement-oriented roles in Data Science.

This course is your gateway to a rewarding career in Data Science. Join us and embark on the journey to become a skilled Data Scientist!

Course Completion Certificate

Upon completing this course, receive a recognized certificate, validating your skills and accomplishments in the field of coding and robotics.

Introduction

Basics

Mathematics for DS

Data Visualization

Machine Learning

Projects

Portfolio

Internship

Introduction

Introduction to key concepts and principles of data science, including data exploration, visualization, and statistical analysis.

Basics

Learn programming languages such as Python and R for data manipulation, analysis, and building machine learning models.

Mathematics for DS

Understand mathematical concepts and techniques essential for data science, including linear algebra, calculus, and probability.

Data Visualization

Develop skills in creating compelling and informative data visualizations using tools like Matplotlib, Seaborn, and Tableau.

Machine Learning

Explore machine learning algorithms and techniques for predictive modeling, classification, and clustering.

Projects

Apply data science skills to real-world projects, solving complex problems and showcasing practical abilities to potential employers.

Portfolio

Build a professional portfolio featuring completed data science projects and demonstrating expertise in various data science domains.

Internship

Prepare for data science internships by honing practical skills and gaining insights into industry practices and expectations.

Introduction

Introduction to key concepts and principles of data science, including data exploration, visualization, and statistical analysis.

Basics

Learn programming languages such as Python and R for data manipulation, analysis, and building machine learning models.

Mathematics for DS

Understand mathematical concepts and techniques essential for data science, including linear algebra, calculus, and probability.

Data Visualization

Develop skills in creating compelling and informative data visualizations using tools like Matplotlib, Seaborn, and Tableau.

Machine Learning

Explore machine learning algorithms and techniques for predictive modeling, classification, and clustering.

Projects

Apply data science skills to real-world projects, solving complex problems and showcasing practical abilities to potential employers.

Portfolio

Build a professional portfolio featuring completed data science projects and demonstrating expertise in various data science domains.

Internship

Prepare for data science internships by honing practical skills and gaining insights into industry practices and expectations.

Modile 1: Python Basics

Module 2: Applied Python

Module 3: Applied Mathematics

Module 4: Machine Learning

Module 5: Campus Recruitment Training

Team Image
Shailesh Mishra

Sr. Data Science Instructor at RICR

Data science trainer at RICR Ex- ML Engineer at Board Infinity


For details about the course
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Our Hotline
Call +918889995236
Email
contact@ricr.co.in