Data Science and Machine Learning: A Practical Guide

Data Science and Machine Learning: A Practical Guide, available at $74.99, has an average rating of 4.95, with 47 lectures, based on 46 reviews, and has 122 subscribers.

You will learn about Data Manipulation: Learn how to effectively manipulate and transform data using Python libraries such as Pandas, NumPy, and SciPy. Data Analysis: Develop the ability to explore and analyze datasets using Python's powerful data visualization libraries like Matplotlib and Seaborn. Gain hands-on experience in conducting EDA, including using tools like Pandas Profiling, DABL, and Sweetviz to analyze and visualize datasets. Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions. Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing Apply knowledge and actionable insights from data across a broad range of application domains. This course is ideal for individuals who are This course is designed for individuals who are interested in learning and applying data science techniques using the Python programming language. or Aspiring Data Scientists: Individuals who want to pursue a career in data science and want to gain practical skills in using Python for data analysis, modeling, and visualization. or Python Programmers: Programmers who are already familiar with Python and want to expand their knowledge to the field of data science. This course will help them apply their programming skills to solve real-world data problems. or Data Analysts: Analysts who work with data and want to enhance their skills by incorporating Python into their data analysis workflows. This course will enable them to perform more advanced data manipulation, statistical analysis, and visualization using Python. It is particularly useful for This course is designed for individuals who are interested in learning and applying data science techniques using the Python programming language. or Aspiring Data Scientists: Individuals who want to pursue a career in data science and want to gain practical skills in using Python for data analysis, modeling, and visualization. or Python Programmers: Programmers who are already familiar with Python and want to expand their knowledge to the field of data science. This course will help them apply their programming skills to solve real-world data problems. or Data Analysts: Analysts who work with data and want to enhance their skills by incorporating Python into their data analysis workflows. This course will enable them to perform more advanced data manipulation, statistical analysis, and visualization using Python.

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Summary

Title: Data Science and Machine Learning: A Practical Guide

Price: $74.99

Average Rating: 4.95

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

• Data Manipulation: Learn how to effectively manipulate and transform data using Python libraries such as Pandas, NumPy, and SciPy.
• Data Analysis: Develop the ability to explore and analyze datasets using Python's powerful data visualization libraries like Matplotlib and Seaborn.
• Gain hands-on experience in conducting EDA, including using tools like Pandas Profiling, DABL, and Sweetviz to analyze and visualize datasets.
• Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions.
• Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing
• Apply knowledge and actionable insights from data across a broad range of application domains.

Who Should Attend

• This course is designed for individuals who are interested in learning and applying data science techniques using the Python programming language.
• Aspiring Data Scientists: Individuals who want to pursue a career in data science and want to gain practical skills in using Python for data analysis, modeling, and visualization.
• Python Programmers: Programmers who are already familiar with Python and want to expand their knowledge to the field of data science. This course will help them apply their programming skills to solve real-world data problems.
• Data Analysts: Analysts who work with data and want to enhance their skills by incorporating Python into their data analysis workflows. This course will enable them to perform more advanced data manipulation, statistical analysis, and visualization using Python.

Target Audiences

• This course is designed for individuals who are interested in learning and applying data science techniques using the Python programming language.
• Aspiring Data Scientists: Individuals who want to pursue a career in data science and want to gain practical skills in using Python for data analysis, modeling, and visualization.
• Python Programmers: Programmers who are already familiar with Python and want to expand their knowledge to the field of data science. This course will help them apply their programming skills to solve real-world data problems.
• Data Analysts: Analysts who work with data and want to enhance their skills by incorporating Python into their data analysis workflows. This course will enable them to perform more advanced data manipulation, statistical analysis, and visualization using Python.