This highly-rated course boasts a 0.0-star-star rating from 0 reviews and has successfully guided 1,000 students in mastering Data Science skills. Featuring 6 hour(s) of expert-led content delivered in English, this course offers thorough training to enhance your Social Science expertise. The course details were last updated on December 24, 2024. This coupon code is brought to you by Anonymous.
- Expired on March 10, 2025
- Last Update: March 10, 2025
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Price:
49.99 $11.99 $
About This Course
The demand for Data Science and Machine Learning professionals is growing rapidly across various industries. This comprehensive masterclass is designed to provide you with a strong foundation in R programming, data analysis, and machine learning to help you build real-world models and applications. Whether you are a beginner looking to start your journey or a professional seeking to enhance your skills, this course will cover everything you need to know to become proficient in Data Science using R.
We will begin with an introduction to Data Science, Machine Learning, and R programming, covering essential concepts and their applications. You will learn how to import, manipulate, clean, and analyze data using powerful R libraries such as dplyr, tidyr, and ggplot2. As the course progresses, you will explore advanced data visualization techniques, database integration, web scraping, and JSON parsing to extract meaningful insights from data.
A significant portion of this course is dedicated to Machine Learning with R. You will gain hands-on experience in data preprocessing, exploratory data analysis (EDA), regression models (linear and logistic regression), and classification techniques. The course also covers practical topics such as creating a Data Science portfolio, resume building, and freelancing opportunities to help you launch your career in this field.
By the end of this course, you will have a strong understanding of Data Science workflows and will be able to build predictive models, analyze complex datasets, and create interactive dashboards using R.
What You Will Learn
This course covers a wide range of topics, including:
Introduction to Data Science and Machine Learning
Overview of Data Science and Machine Learning
Understanding the Data Science job market and career opportunities
Roles and responsibilities of Data Scientists and Analysts
Getting Started with R Programming
Installing and setting up R and RStudio
Understanding R syntax and basic programming concepts
Working with R files and scripts
Introduction to the Tidyverse package
Data Structures and Manipulation in R
Understanding data types and structures
Working with vectors, lists, matrices, and data frames
Using dplyr for efficient data manipulation
Data pivoting and transformation techniques
Data Import, Cleaning, and Processing
Importing and exporting data from different sources
Handling missing values and data inconsistencies
Data preprocessing for Machine Learning models
Data Visualization in R
Creating single-variable and multi-variable plots
Using ggplot2 for advanced data visualization
Applying facets, layering, and coordinate systems
Customizing and styling plots
Database Integration and Web Scraping
Connecting R to SQL databases
Extracting and parsing data from web pages using web scraping techniques
Working with JSON data in R
Machine Learning with R
Introduction to Machine Learning concepts and techniques
Data preprocessing for Machine Learning models
Building Linear Regression and Logistic Regression models
Performing Exploratory Data Analysis (EDA)
Implementing classification algorithms and real-world ML models
Functional Programming and Web App Development with R
Writing functions and using R packages effectively
Introduction to R Markdown for creating reports
Building interactive web applications using R Shiny
Career Development and Freelancing in Data Science
How to start a career in Data Science
Building a professional Data Science resume
Finding and applying for Data Science jobs
Getting started with freelancing and remote work opportunities
Why Take This Course?
This course is designed to provide practical, hands-on experience to help you apply your skills in real-world scenarios. Here’s what makes this course unique:
Comprehensive curriculum covering all aspects of Data Science and Machine Learning with R
Hands-on projects and exercises to reinforce learning
Real-world applications and case studies
Taught by industry experts with real-world experience
Perfect for both beginners and experienced professionals
Guidance on career development and freelancing opportunities
Who Should Take This Course?
This course is suitable for:
Aspiring Data Scientists and Analysts who want to build a career in this field
Business Analysts and Researchers looking to improve data-driven decision-making skills
Software Developers and Engineers interested in data analysis and Machine Learning
Students and Academics looking to apply R for statistical analysis and research
Anyone interested in Data Science and AI and wants to learn practical skills
Enroll Today
If you are ready to master Data Science and Machine Learning with R, this course will provide you with the skills and confidence to analyze data, build predictive models, and launch a successful career in this exciting field.
Join now and take your first step toward becoming a Data Science professional!
