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via Udemy |
Go to Course: https://www.udemy.com/course/python-data-analysis-2020/
Certainly! Here's a comprehensive review and recommendation for the Coursera course based on the details provided: --- **Course Review and Recommendation: Python for Data Science and Analysis on Coursera** If you're new to Python and eager to dive into the world of data science, this course is an excellent starting point. With positive recent reviews highlighting clear and lucid explanations from instructor Piyush Sir, it’s evident that the course is well-designed for beginners. Students appreciate the comprehensive coverage of fundamental Python concepts, alongside practical modules on Numpy and Pandas, which are essential tools for any data scientist. One of the standout features of this course is its focus on real-life projects. From Covid-19 data analysis to hospital data, students get hands-on experience by working on meaningful datasets, enhancing their understanding and confidence. The inclusion of source codes and solutions for each session encourages active practice and skill development. The course promises to transform beginners into proficient practitioners, enabling learners to perform exploratory data analysis (EDA), extract data from diverse sources like websites, PDFs, CSV files, and RDBMS databases, and create insightful visualizations (bar charts, box plots, etc.). These skills are crucial for making data-driven business decisions and storytelling through data. Additionally, learners gain exposure to high-demand libraries such as Pandas and NumPy, both of which are essential in data science and data engineering. The course also covers key topics like data visualization, storytelling, and critical factor analysis on datasets like Melbourne real estate, market data, and Covid-19 data, making it versatile and applicable across various domains. The course offers lifetime access to materials, a 100% money-back guarantee, and the flexibility to learn at your own pace. Whether you're aiming for professional growth or simply want to learn the art of data analysis, this course provides a solid foundation. **Recommendation:** I highly recommend this course for beginners interested in Python, data analysis, and data science. Its practical approach, real-world projects, and focus on in-demand skills make it an invaluable resource for anyone looking to build a strong foundation and advance in the field of data analysis or data engineering. --- Feel free to ask if you'd like a shorter summary or additional details!
Recent Reviews:Thanks to Piyush Sir, for explaining basics of python in a lucid way.I would recommend this course, whoever is very much new to Python and interested in understanding basic concepts of Numpy and Pandas from scratch."Yes, this is course i was looking for my knowledge which will eventually help me in my professional growth.I will surely recommend this course to anyone who is interested in Data science or Data Engineering" Lifetime access to course materials. 100% money back guarantee The course is packed with real life projects examples and include Covid19 Data Analysis ( real life Hospital Data ) which you will be doing as part of Assignment. Solutions and source code is providedGet Transformed from Beginner to Expert. Become expert in using Python Pandas,NumPy libraries ( the most in-demand )Source Codes are provided for each session so that you can practise along with the lectures..Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisionsStart python programming professionally Extract data from various sources like websites, pdf files, csv and RDBMS database.Start using the highest in-demand libraries used in Data Science / Data Analysis project: Pandas , NumPy Start making visualizations charts - bar chart , box plots which will give the meaningful insights.Become expert in storytellingLearn the art of Data Analysis , Visualizations for Data Science ProjectsWe will also go through Melbourne Real estate data , market data , Covid 19 Data and analyse which factors are key to decide car price.