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Description
Mastering Data Science with Python Course 2023. Welcome to the comprehensive Python programming course designed by Selfcode Academy for data science and visualization enthusiasts. Whether you are a beginner or looking to expand your skill set, this course will equip you with the knowledge you need.
Mastering the basics of Python:
- Start with the basics of Python.
- Learn about variables, data types and the logic behind programming.
- Explore conditional statements and loops.
- Dive into essential data structures like lists, tuples, dictionaries, and collections.
- Explore the world of functions, including powerful lambda functions.
- Learn about Object Oriented Programming (OOP) concepts.
The role of Python in data science:
- Seamless transition to data science
- Manipulate dates and times using Python’s datetime module.
- Deal with complex text patterns with regular expressions (regex).
- Use the power of Python’s built-in functions.
- Embrace NumPy for efficient numerical computing.
- Master Pandas and its data structures, including Series and DataFrames.
- Acquire data cleaning skills to handle missing values and outliers.
- Excel in data manipulation with pandas, including indexing, grouping, sorting and merging.
- Visualize data using Matplotlib to create compelling graphs.
Advanced data science and visualization:
- Discover insights through exploratory data analysis (EDA) techniques.
- Automate data analysis with Pandas Profiling, DABL and Sweetviz.
- Perfect your data cleaning and preprocessing techniques.
- Create attractive visualizations using Seaborn.
- Create a variety of plots, from lines and regions to scatter plots and violins, with Plotly.
- Map your data with geographic visualizations.
Statistics and hypothesis testing:
- Dive into descriptive statistics, including central tendency and dispersion.
- Master inferential statistics, covering sampling, confidence intervals, and hypothesis testing.
- Training to perform hypothesis tests using Python libraries.
Capstone project:
- Apply your skills to a real-world data science project.
- Define a business problem and structure your analysis.
- Summarize your findings in a comprehensive report.
After completing this course, you will have a solid foundation in Python programming for data science and visualization. You will have the skills to clean, analyze and visualize data that will allow you to confidently make data-driven decisions. Don’t miss this opportunity to start your data science journey.
What you will learn in Mastering Data Science with Python 2023 course
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Data Manipulation: Learn how to efficiently manipulate and transform data using Python libraries such as Pandas, NumPy, and SciPy.
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Data Analysis: Develop the ability to explore and analyze data sets using powerful Python data visualization libraries such as Matplotlib and Seaborn.
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Gain hands-on experience performing EDA, including using tools such as Pandas Profiling, DABL, and Sweetviz to analyze and visualize datasets.
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Master the fundamental concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions.
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Gain a deep understanding of data science processes: data wrangling, data mining, data visualization, hypothesis generation, and testing.
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Apply knowledge and actionable insights from data across a wide range of application areas.
This course is suitable for people who
- This course is designed for people who are interested in learning and applying data science techniques using the Python programming language.
- Aspiring Data Scientists: People 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 Developers: Developers who are already familiar with Python and want to expand their knowledge of data science. This course helps 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 enables them to perform more advanced data manipulation, statistical analysis and visualization using Python.
Mastering Data Science with Python 2023 course specifications
- Publisher: Udemy
- teacher: Selfcode Academy
- Training level: beginner to advanced
- Training duration: 17 hours and 27 minutes
- Number of courses: 46
Headlines of the Mastering Data Science with Python 2023 course on 7/2023
Mastering Data Science with Python 2023 course prerequisites
- Basic Programming Knowledge: A fundamental understanding of programming concepts and logic is necessary. Students should be familiar with variables, data types, control flow statements (if/else, loops), and functions.
- Basic knowledge of statistics
Course images
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