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 newbie or looking to expand your skill set, this course will equip you with the knowledge you need.
Mastering the fundamentals 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.
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).
- Harness the power of Python’s built-in functions.
- Adopt 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 at data manipulation with Pandas, including indexing, grouping, sorting, and merging.
- Visualize data using Matplotlib to create compelling graphs.
Advanced Data Science and Visualization:
- Find insights through exploratory data analysis (EDA) techniques.
- Automated data analysis with Pandas profiling, DABL, and Sweetviz.
- Improve your data cleaning and preprocessing techniques.
- Create engaging visualizations using Seaborn.
- Create a variety of plots with Plotly, from lines and areas to scatter plots and violins.
- 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 on performing hypothesis testing 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 the Mastering Data Science with Python 2023 course
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Data Manipulation: Learn how to effectively 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 practical 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 those who
- This course is designed for those 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 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 about data science. This course helps them apply their programming skills to solve real-world data problems.
- Data Analyst: Analysts who work with data and want to enhance their skills by incorporating Python into their data analysis workflow. 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
- coach: 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 7 course on 2023/2023
Mastering Data Science with Python 2023 Course Prerequisites
- Basic programming knowledge: A basic understanding of programming concepts and logic is required. Students should be familiar with variables, data types, control flow statements (if/else, loops), and functions.
- Basic knowledge of statistics
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