Data Science and Machine Learning with R and Python

Why take this course?
🌟 Master Data Science & Machine Learning with R & Python! 🌟
Data Science and Machine Learning Bootcamp
Dive into the world of Data Science and Machine Learning with our comprehensive online course, designed to equip you with the skills to extract meaningful insights from data using R and Python. 🚀
R Module:
-
Operators & Control Flow: Get comfortable with operators like
+
,-
, logical operations, and control structures such asIF
,FOR
loops, and their variations in R.- Types of Operators
- IF statements (including
ifelse()
) - Nested IFs and Switch cases
- Loops like
FOR
,While
,repeat
,break
,next
-
Data Types & Manipulation: Understand R's data types, including vectors, matrices, and lists. Learn to manipulate them effectively using functions like
apply
,lapply
,sapply
,tapply
, andmapply
.- Importing datasets
- Exploratory Data Analysis with functions like
str()
,summary()
- Data manipulation with
Dply
(Filter, multiple filter, mutate, arrange, summarize)
-
Data Visualization: Master creating various types of plots in R, from bar graphs to line charts, and learn how to represent data effectively using Box plots.
-
Real-World Application: Apply your knowledge by working on real datasets such as Cancer Remission dataset for Logistic Regression, and perform Clustering using Kmeans.
Python Module:
-
Python Basics: Start with the fundamentals of Python, including data types, control structures, and functions. Learn to handle different data structures like tuples, lists, dictionaries, and sets.
- Basic syntax and libraries like
sys
- Data types (tuples, lists, dictionaries, sets)
- String operations and value conversions
- Basic syntax and libraries like
-
Data Manipulation & Analysis with Pandas: Get hands-on experience with the powerful Pandas library for data manipulation and analysis. Learn to create and manipulate DataFrames, perform vector operations, and align data properly.
- Numpy for mathematical operations on arrays
- DataFrame creation from various sources
- Grouping by variables, sorting, and standardization of data
-
Machine Learning with Python: Explore the world of Machine Learning using Python. Understand Linear Regression, Kmeans Clustering, and apply your new skills to real datasets.
Data Visualization with Python:
- Visualizing Data: Use Matplotlib to create a variety of visualizations that will help you understand the data and communicate your findings effectively.
Practical Learning Experience
- Interactive Content: Engage with interactive coding exercises, real datasets, and case studies.
- Quizzes & Practice Tests: Regular knowledge checks to ensure you're on track with your learning goals.
- Expert Instructors: Learn from industry experts who will guide you through each concept with ease.
Join the Data Science Revolution!
Enroll in our Data Science and Machine Learning course with R and Python today and transform your career. Whether you're a beginner or looking to advance your skills, this course is designed to challenge and inspire you. 🤿
Sign Up Now and take the first step towards becoming a data science guru! 🚀✨
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