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In this episode of the Lunch Break podcast, we dive into the world of data in all its details. We will learn about the different jobs in the data field, from Data Analyst to Data Engineer, Data Scientist, and AI Specialist. We will also explain the difference between Data Warehouse and Data Lake, and how to choose the most suitable one for your company. We will also talk about the basic skills and tools that you should have if you intend to enter this field, such as Python, SQL, and Power BI. If you want to know more about this field or are preparing yourself for the first step in it, this episode is made for you! Don't forget to like and subscribe to the channel to receive new episodes 00:00 Introduction 01:16 Dealing with data before the emergence of modern tools 03:28 Different jobs in the field of data 17:35 The difference between Data Warehouse and Data Lake 20:50 What are the industries for data work? 22:58 Basic skills and tools for data jobs 34:18 Preparing for the interview 44:22 Average salaries for each job in the data field Courses* First, open this link and see the questions in it: https://datapost73.blogspot.com/2020/... -------------------------------------------------------------------------------------------- The DB is the first and most important topic that you must understand very well, and this is its link: https://maharatech.gov.eg/course/view... The course is generally called Database Fundamentals, so if the link does not open, you can search for it on the Mahara Tech website. No-SQL DB: • How do NoSQL databases work? Simply E... -------------------------------------------------------------------------- The second thing is SQL, and you will be asked a lot about it: • SQL Basics Tutorial For Beginners I... • Intermediate SQL Tutorial Inner/Out... ----- After that, the Data warehouse: First, review this post / 4114065122007746, then this video • 2. Data warehouse Data warehouse: ----- A Big DATA: First, watch this: • Big Data In 5 Minutes What Is Big D... Then: • Big Data With HaDooP explanation, then: • The Big Data Cycle from A to Z... Finally, you can search for the name of each Tool to know more about it if you don't understand it, for example. ------------------------------------------------------------------------------------- A Machine Learning: There is no fixed course, you take the name of each algorithm and search for it and see what it is talking about (understand only the concept) The most famous things that you might be asked about: (linear regression - logistic regression - k-means - decssion trees - SVM - PCA - Gradient Descent) ----- Deep learning: • Neural Network In 5 Minutes What Is... • Machine Learning vs. Deep Learning • Neural Network In 5 Minutes What Is... Watch them in order and after you finish Machine learning ------- Statistics: https://www.khanacademy.org Check out the questions in the first post and search for them on this site or on the channel I wrote above for Machine learning ----- ... Link: https://egfwd.com/ The importance of topics in order For data science: 1- Statistics 2- SQL / DataBase / Data warehouse 3- Machine Learning For data science & data managment: 1- Statistics 2- SQL / DataBase / Data warehouse 3- Machine Learning 4- Big data Statistics • Statistics - A Full University Course... SQL https://www.udemy.com/course/the-comp... • SQL for Data Analytics - Learn SQL in... Data warehouse https://www.udemy.com/course/data-war... Machine Learning https://www.coursera.org/specializati... Bigdata • ????Big Data Full Course 2023 Big Data... Additional topics: Deep learning PL/SQL #Data #Data_Analysis #Data_Jobs #Data #DataWarehouse #DataLake #Data_Skills #Salaries #DataAnalyst #DataEngineer #DataScientist #AI