|
via Udemy |
Go to Course: https://www.udemy.com/course/data-science-in-python-data-prep-eda/
**Course Review: Mastering Python for Data Science and Machine Learning on Coursera** If you're an aspiring data scientist or a business intelligence professional eager to build a solid foundation in Python for data science and machine learning, this hands-on, project-based course offered by Maven Analytics on Coursera is an excellent choice. Taught by Python expert and data science instructor Alice Zhao, the course provides a comprehensive yet practical approach to mastering core data science skills. **Course Content and Structure** The course begins with an engaging introduction to the fields of data science and machine learning, clarifying key concepts such as supervised versus unsupervised learning. It then guides you through the entire Python data science workflow, emphasizing real-world application via projects. Key modules include: - **Data Science & Machine Learning Fundamentals:** An overview that sets the context for what's to come. - **Project Scoping:** Learning how to define clear goals and solve problems systematically. - **Data Gathering:** Using Python and Pandas to import data from various sources such as Excel files and SQL databases. - **Data Cleaning:** Identifying and fixing data quality issues like missing values, duplicates, and outliers while converting data types. - **Exploratory Data Analysis (EDA):** Discover insights through filtering, grouping, visualizing (scatterplots, histograms), and summarizing data. - **Preparing Data for Models:** Techniques like joining tables, feature engineering, and adjusting data granularity to make datasets ready for machine learning. Throughout the course, you'll take on the role of a Junior Data Scientist at Maven Music, a streaming service battling customer churn. This real-world scenario makes the learning process engaging and applicable, allowing you to practice gathering, cleaning, exploring, and preparing data for actionable insights. **Projects and Practical Application** The course features two key projects: - A mid-course project focused on Rotten Tomatoes movie ratings, honing skills in data cleaning, exploration, and visualization. - A final capstone project centered on Maven Music, where you'll bring all your skills together to analyze and prepare multiple datasets. These projects, along with downloadable files and solutions, consolidate your learning and build a portfolio of practical skills. **Course Benefits** - 8.5 hours of high-quality video content - 16 homework assignments - 7 quizzes - 2 projects (mid-course and final) - An extensive 190+ page ebook on Data Prep & EDA - Lifetime access to all materials - Expert support and active Q&A forum **Recommendation** This course is ideal for beginners to intermediate learners who want a hands-on, applied approach to learning Python for data science. The integration of real-world projects and industry-relevant scenarios provides invaluable practical experience. Whether you're looking to jumpstart your career or improve your data analysis skills, this course offers comprehensive content and supportive instruction from Maven Analytics. **Final Verdict** I highly recommend this course for anyone serious about mastering the essentials of data preparation and exploratory analysis with Python. It's structured, engaging, and packed with resources to help you succeed. Plus, with positive reviews from past students and a satisfaction guarantee, there's little to lose. **Get started today and transform your data science capabilities!**
This is a hands-on, project-based course designed to help you master the core building blocks of Python for data science and machine learning.We'll start by introducing the fields of data science and machine learning, discussing the difference between supervised and unsupervised learning, and reviewing the Python data science workflow we'll be using throughout the course.From there we'll do a deep dive into the data prep & EDA steps of the workflow. You'll learn how to scope a data science project, use Python and Pandas to gather data from multiple sources and handle common data cleaning issues, and perform exploratory data analysis (EDA) using techniques like filtering, grouping, and visualizing data.Throughout the course, you'll play the role of a Jr. Data Scientist for Maven Music, a streaming service that's been struggling with customer churn. Using the skills you learn throughout the course, you'll use Python to gather, clean, and explore the data to provide insights about their customers.Last but not least, you'll practice preparing data for data science and machine learning models by joining multiple tables, adjusting row granularity, and engineering useful fields and features.COURSE OUTLINE:Intro to Data Science & Machine LearningIntroduce the field of data science, review essential skills, and introduce each phase of the data science workflowScoping a ProjectReview the process of scoping a data science project, including brainstorming problems and solutions, choosing techniques, and setting clear goalsGathering DataRead flat files into a Pandas DataFrame in Python, and review common data sources & formats, including Excel spreadsheets and SQL databasesCleaning DataIdentify and convert data types, find and fix common data quality issues like missing values, duplicates, and outliers, and create new columns for analysisExploratory Data Analysis (EDA)Explore datasets to discover insights by sorting, filtering, and grouping data, then visualize it using common chart types like scatterplots & histogramsMID-COURSE PROJECTPut your skills to the test by cleaning, exploring, and visualizing data from a brand-new data set containing Rotten Tomatoes movie ratingsPreparing for ModelingStructure your data so that it's ready for machine learning models by creating a numeric, non-null table and engineering new featuresFINAL COURSE PROJECTApply all the skills learned throughout the course by gathering, cleaning, exploring, and preparing multiple data sets for Maven Music__________Ready to dive in? Join today and get immediate, LIFETIME access to the following:8.5 hours of high-quality video16 homework assignments7 quizzes2 projects (1 mid-course, 1 final)Data Science in Python: Data Prep & EDA ebook (190+ pages)Downloadable project files & solutionsExpert support and Q & A forum30-day Udemy satisfaction guaranteeIf you're an aspiring data scientist or business intelligence professional looking for an introduction to the world of machine learning and data science with Python and Pandas, this is the course for you.Happy learning!-Alice Zhao (Python Expert & Data Science Instructor, Maven Analytics)__________Looking for our full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau and Machine Learning courses!See why our courses are among the TOP-RATED on Udemy:"Some of the BEST courses I've ever taken. I've studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I've seen!" Russ C."This is my fourth course from Maven Analytics and my fourth 5-star review, so I'm running out of things to say. I wish Maven was in my life earlier!" Tatsiana M."Maven Analytics should become the new standard for all courses taught on Udemy!" Jonah M.