Data Science and Machine Learning: A Practical Guide

Dive Deep into Data Analysis, Visualization, and Predictive Modeling – Excel in the World of Data Science
4.86 (50 reviews)
Udemy
platform
English
language
Data Science
category
Data Science and Machine Learning: A Practical Guide
135
students
17.5 hours
content
Jun 2024
last update
$74.99
regular price

Why take this course?

🎉 Dive Deep into Data Analysis, Visualization, and Predictive Modeling – Excel in the World of Data Science! 📊🧠


Unlock the Power of Python for Data Science and Visualization 🚀

Welcome to a comprehensive journey with Selfcode Academy's Python programming course, specifically designed for data science and visualization enthusiasts at all levels. Whether you're stepping into the world of programming or looking to hone your data science skills, this course is your gateway to mastery.


Master the Python Basics: 🧠

  • Start from Scratch: Grasp the fundamentals of Python – variables, data types, and the essence of programming logic.
    • Understand basic syntax and structure
    • Get comfortable with strings, integers, floats, and booleans
  • Conditional Statements & Loops: Learn to control the flow of your program with if, elif, and else statements, and loop through data with for and while.
    • Explore for loops for iterating over sequences
    • Understand while loops for repetitive tasks
  • Data Structures: Dive deep into Python's built-in data structures – lists, tuples, dictionaries, and sets.
    • Manage collections of data
    • Master list comprehensions and dictionary methods
  • Functions & Lambda Functions: Discover the power of functions, including the versatility of lambda functions.
    • Create reusable code blocks
    • Learn function parameters, return values, and scope
  • Object-Oriented Programming (OOP): Get familiar with OOP concepts like classes and objects to write modular and reusable code.
    • Understand inheritance and polymorphism
    • Implement real-world object designs

Python's Role in Data Science: 🌟

Transition into the realm of data science with Python, where you'll manipulate, analyze, and visualize data like a pro.

  • Manipulate Dates and Times: Use Python's datetime module to handle temporal data with ease.
  • Complex Text Patterns: Master regular expressions (regex) for text processing and pattern matching.
  • Built-in Python Functions: Learn to leverage Python's powerful built-in functions for a variety of tasks.
  • NumPy & Pandas: Embrace NumPy for numerical computing and Pandas for data manipulation, cleaning, and analysis.
    • Manage missing values and outliers effectively
    • Perform complex data transformations with confidence
  • Data Visualization with Matplotlib: Create compelling visualizations to represent your findings.
    • Design line graphs, scatter plots, and histograms
    • Learn how to customize plots with labels, legends, and formatting

Advanced Data Science and Visualization: 📈

Delve deeper into Exploratory Data Analysis (EDA) and learn to automate your data analysis with tools like Pandas Profiling.

  • Exploratory Data Analysis (EDA): Apply EDA techniques to uncover insights in your datasets.
  • Data Cleaning & Preprocessing: Perfect your skills in cleaning and preparing data for analysis.
  • Captivating Visualizations with Seaborn & Plotly: Craft advanced visualizations, including violin plots and geographical maps.
    • Use Seaborn to create sophisticated statistical plots
    • Utilize Plotly for interactive visualizations

Statistics and Hypothesis Testing: 🔢

Understand the statistical foundations of data science and learn to test hypotheses using Python.

  • Descriptive Statistics: Explore central tendency and dispersion measures to understand your data's distribution.
  • Inferential Statistics: Master the principles of inferential statistics, including sampling, confidence intervals, and hypothesis testing.
  • Hypothesis Testing in Python: Learn to conduct t-tests, chi-square tests, and other statistical tests using Python libraries like SciPy and StatsModels.

Capstone Project: 🏆

Apply your newly acquired skills to a real-world data science project and demonstrate your ability to structure an analysis from start to finish.

  • Real-World Application: Select a business problem and apply data cleaning, analysis, and visualization techniques.
  • Project Documentation: Document your findings, methodology, and insights in a professional report.

Embark on Your Data Science Journey! 🌟

Join us at Selfcode Academy to transform data into actionable insights with Python. This course is your stepping stone to becoming a proficient data scientist or analyst.

  • Engaging Content: Learn through interactive tutorials, real-world case studies, and hands-on projects.
  • Expert Instructors: Be guided by industry experts who are seasoned in the field of data science.
  • Community Support: Collaborate with fellow learners and build a network that supports your growth as a data professional.

Enroll Now and Become a Data Science Maestro! 🎓✨

Don't miss out on this opportunity to master Python for data exploration and visualization. Sign up today and take the first step towards an exciting career in data science! 🚀💻

Course Gallery

Data Science and Machine Learning: A Practical Guide – Screenshot 1
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5363290
udemy ID
03/06/2023
course created date
06/07/2023
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