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via Udemy |
Go to Course: https://www.udemy.com/course/python3-pandas-datascience-timeseries/
Certainly! Here's a detailed review and recommendation of the course "Become a Master in Data Acquisition, Visualization, and Time Series Analysis with Python 3" available on Coursera: --- **Course Review:** The *Become a Master in Data Acquisition, Visualization, and Time Series Analysis with Python 3* course is an excellent choice for anyone looking to deepen their expertise in Data Science, especially in time series analysis, using Python 3. With over 13 hours of comprehensive content across more than 100 lectures, this course covers a broad spectrum of fundamental and advanced topics, making it suitable for beginners and intermediate learners alike. One of the standout features of this course is its practical approach. Each lecture is accompanied by a programming video and a corresponding Jupyter Notebook, allowing learners to follow along and practice coding in real-time. The inclusion of PDFs and notebooks for lifetime access ensures that students can revisit the material whenever needed, reinforcing learning and skill retention. The course starts with the essentials—installing Python 3, NumPy, Pandas, Matplotlib, Plotly, and Jupyter—on both Windows and Raspberry Pi, catering to diverse environments. It then moves seamlessly into data acquisition from various sources like MySQL and pandas, before delving into data manipulation, visualization, and time series analysis. The curriculum's breadth is commendable. It not only covers basic data science concepts but also dives into specialized areas such as statistical functions, linear algebra, and advanced visualization techniques with Plotly, Seaborn, and Altair. This comprehensive approach ensures learners gain a well-rounded understanding of the Python data science ecosystem. **Course Highlights:** - Covering installation and setup on multiple platforms including Raspberry Pi. - Hands-on tutorials with real-world applications. - Focus on time series data, a crucial skill in many industries. - Practical, project-based learning approach. - Lifetime access to all course materials. **Recommendations:** This course is highly recommended for aspiring data scientists, analysts, or anyone interested in Python-based data analysis and visualization. Whether you're just starting or looking to refine your skills, the practical focus and comprehensive content make it a worthwhile investment. If you're aiming to secure a high-paying role in data science—where expert proficiency in data acquisition, manipulation, and visualization is essential—this course will provide you with the necessary foundation and advanced techniques. The skills taught here are among the most sought-after in the industry today. **Final Verdict:** Score: ★★★★☆ (4.5/5) For anyone committed to mastering data science and time series analysis with Python 3, this course is an outstanding resource. Its practical approach, extensive coverage, and lifetime access make it a valuable addition to your learning journey. Enroll now to unlock new career opportunities and develop skills that are in high demand! --- Would you like a personalized learning plan or additional tips on how to maximize your learning from this course?
Become a Master in Data Acquisition, Visualization, and Time Series Analysis with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Data Science professional can earn minimum $100000 (that's five zeros after 1) in today's economy.This is the most comprehensive, yet straight-forward course for the Data Science and Time Series with Python 3 on Udemy! Whether you have never worked with Data Science before, already know basics of Python, or want to learn the advanced features of Pandas Time Series with Python 3, this course is for you! In this course we will teach you Data Science and Time Series with Python 3, Jupyter, NumPy, Pandas, Matplotlib, and Plotly.(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)With over 100 lectures and more than 13 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Time Series Analysis!This course will teach you Data Science and Time Series in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!We will start by helping you get Python3, NumPy, matplotlib, Jupyter, Pandas, and Plotly installed on your Windows computer and Raspberry Pi.We cover a wide variety of topics, including:Basics of Scientific Python EcosystemBasics of PandasBasics of NumPy and MatplotlibInstallation of Python 3 on WindowsSetting up Raspberry PiTour of Python 3 environment on Raspberry PiJupyter installation and basicsNumPy NdarraysArray Creation RoutinesBasic Visualization with MatplotlibNdarray ManipulationRandom Array GenerationBitwise OperationsStatistical FunctionsBasics of MatplotlibInstallation of SciPy and PandasLinear Algebra with NumPy and SciPyData Acquisition with Python 3MySQL and Python 3Data Acquisition with PandasDataframes and Series in PandasTime Series in PandasTime Series analysis with Matplotlib, Plotly, Seaborn, and AltairYou will get lifetime access to over 100 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures! So what are you waiting for? Learn Data Science and Time Series with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!