Unlock the Power of Python for Data Science and Visualization
Welcome to a comprehensive Python programming course tailored by Selfcode Academy for data science and visualization enthusiasts. Whether you’re a beginner or looking to expand your skill set, this course will equip you with the knowledge you need.
Master the Python Basics:
- Start from scratch with Python fundamentals.
- 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 sets.
- Discover the world of functions, including powerful lambda functions.
- Get familiar with Object-Oriented Programming (OOP) concepts.
Python’s Role in Data Science:
- Transition to data science seamlessly.
- Manipulate dates and times using Python’s datetime module.
- Tackle complex text patterns with regular expressions (regex).
- Harness the power of built-in Python 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 at data manipulation with Pandas, including indexing, grouping, sorting, and merging.
- Dive into data visualization with Matplotlib to create compelling graphs.
Advanced Data Science and Visualization:
- Uncover insights through Exploratory Data Analysis (EDA) techniques.
- Automate data analysis with Pandas Profiling, DABL, and Sweetviz.
- Perfect your data cleaning and preprocessing techniques.
- Craft captivating visualizations using Seaborn.
- Create various plots, from lines and areas to scatter and violin plots with Plotly.
- Take your data to the map with geographical visualizations.
Statistics and Hypothesis Testing:
- Dive into descriptive statistics, including central tendency and dispersion.
- Master inferential statistics, covering sampling, confidence intervals, and hypothesis testing.
- Learn to conduct 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.
Upon completing this course, you’ll have a strong foundation in Python programming for data science and visualization. You’ll possess the expertise to clean, analyze, and visualize data, empowering you to make data-driven decisions confidently.
Don’t miss this opportunity to embark on your data science journey.
Enroll now and unleash the potential of Python for data exploration and visualization!
