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365 Data Science Review

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    365 Data Science Review

    This course is definitely a worthy investment and a perfect choice for beginners or anyone looking to brush up Data science skills----- because the program has consolidated all the most relevant topics in one place. For an upfront fee, you will gain unlimited access to everything you need to know and don't have to spend additional money, time and energy in signing up for individual courses on different platforms.

    The 365 Data science program comprises a 23-bundle course, with an option for free preview (13-bundle course) so you really cannot go wrong here: you test before you commit. Included with the program is downloadable lecture slides, beautifully animated videos, instructor- led videos, quizzes and exercises.The program starts with a very detailed high overview of Data and Data science, which covers the different careers, tools, techniques and technologies used in each role (BI analyst, Data Engineer, Data Scientist, Machine Learning, etc). Followed by thorough introductory classes in: - Basic and Advanced Microsoft Excel, - Probability, Statistics, Mathematics, - Tableau, Power BI, SQL, - R and Python-programming bootcamp.

    I will note that there is a quiz after each topic and exercises at the end of each chapter that challenge you to apply your accumulated knowledge to solve mini problems. Also you will work interactively with SQL+Python+Tableau, a valuable skill to showcase employers that you can integrate all three tools to query, analyze, and visualize data. Another notable (and valuable) aspect is that you have to complete the previous chapter before you can move onto the next. In that respect, once you have established the foundations and gained practice with Python, you can easily progress into more advanced topics and industry-specific applications: - Advanced Statistical Methods - Deep Learning with TensorFlow - Credit risk modeling - Time-series analysis - Customer Analytics - Web scraping and API Fundamentals - Real world Financial Analysis

    Final recommendation: 10/10 would recommend for anyone looking to start at the most basic level/review. It makes sense to complete this foundational program to gain some confidence so you can either practice with Open Data or explore more specialized programs in other platforms. Also, please pace yourself: don't overwhelm yourself as I did trying to accomplish three chapters in one day (lol), you will just burn out. I understand that during Quarantine, you might have more time in your hands, but for a smooth experience with the program, plan out your study-schedule and stick to it. Take your time to really understand these concepts and practice: don't skip the exercises so you can best prepare yourself for the more advanced real- world applications.

    Have fun with learning and ALL THE BEST :)