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In today’s data-driven world, proficiency in data science is a highly sought-after skill, with experts commanding salaries well into six figures. If you’re looking to break into this lucrative field or enhance your existing skills, the ‘Python 3 Data Science: NumPy, Pandas, and Time Series’ course on Udemy is an exceptional choice. This comprehensive program is designed to transform you into a master of data acquisition, visualization, and time series analysis using Python 3.
Whether you’re a complete beginner to data science, have some Python knowledge, or are looking to delve into the advanced capabilities of Pandas for time series, this course caters to all levels. With over 100 lectures and more than 13 hours of video content, it leaves no stone unturned. You’ll learn to harness the power of essential libraries like NumPy, Pandas, Matplotlib, and Plotly, all within the user-friendly environments of Python 3 and Jupyter Notebooks. The course thoughtfully provides downloadable PDFs and Jupyter notebooks for each lecture, allowing you to learn at your own pace and in your preferred style.
The course begins with a thorough setup guide, ensuring you can install Python 3, NumPy, Matplotlib, Jupyter, Pandas, and Plotly on both Windows and Raspberry Pi. It then systematically covers the foundational elements of the scientific Python ecosystem, including the basics of NumPy, Pandas, and Matplotlib. You’ll explore NumPy’s Ndarrays, array creation, manipulation, random number generation, bitwise operations, and statistical functions. Matplotlib basics and the installation of SciPy and Pandas are also covered, leading into more advanced topics like linear algebra with NumPy and SciPy.
A significant portion of the course is dedicated to data acquisition, demonstrating how to connect Python 3 with MySQL and how to leverage Pandas for efficient data acquisition. The core of the course dives deep into Pandas DataFrames and Series, culminating in an in-depth exploration of Time Series analysis. You’ll learn to visualize and analyze time series data using Matplotlib, Plotly, Seaborn, and Altair.
The practical, hands-on approach, with every lecture accompanied by a coding video and a corresponding Jupyter notebook, makes complex concepts digestible and actionable. The lifetime access to all materials means you can revisit the content anytime to reinforce your learning. If you’re serious about advancing your career in data science and gaining one of the most in-demand skills of the 21st century, this course offers unparalleled value and a clear path to mastery.
Enroll Course: https://www.udemy.com/course/python3-pandas-datascience-timeseries/