Data science Full Course with SQL and Python for Beginners

Step into the world of Data Science with our comprehensive video designed for beginners. We’ll cover everything you need to start your journey, from understanding the Data Science Life Cycle to exploring roles like Data Analyst, Data Scientist, and Data Engineer. Learn essential Python libraries, core statistics concepts, and key Machine Learning algorithms. Discover the role of SQL in data management and get introduced to Generative AI and ChatGPT. We’ll also guide you through practical Data Science projects and prep you for job interviews. Watch now and start building your skills today! Learn Statistics for Data Science that includes key concepts like probability, hypothesis testing, and the importance of normal distribution and sampling in data analytics. Enroll for free and get a certificate of completion. https://www.mygreatlearning.com/academy/learn-for-free/courses/data-science-foundations?utm_source=CPV_YT&utm_medium=Desc&utm_campaign=DSFullCrswthSQLndPythnfrBgnnrs_2024 Earn a prestigious Data Science certificate from MIT Professional Education. Enroll now and elevate your skills! https://www.mygreatlearning.com/mit-data-science-program?utm_source=CPV_YT&utm_medium=PPDesc1&utm_campaign=DSFullCrswthSQLndPythnfrBgnnrs_2024 Jumpstart your career in Data Science with our course designed for freshers. Apply now to learn more! https://www.mygreatlearning.com/pg-program-data-science-course?utm_source=CPV_YT&utm_medium=PPDesc2&utm_campaign=DSFullCrswthSQLndPythnfrBgnnrs_2024 🏁 Topics Covered: 00:00:00 Introduction 00:01:18 What is Data Science 00:03:07 Data Science Life Cycle 00:08:01 Data Analyst vs Data Scientist vs Data Engineer 00:10:24 Numpy 00:10:51 Creating and Intializing Numpy Array 00:21:21 Numpy Shape 00:23:43 Joinig Numpy arrays 00:27:12 Numpy Intersection and Differences 00:30:49 Numpy Array Mathematics 00:38:17 Numpy Matrix 00:41:32 Numpy Matrix Transpose and Multiplication 00:44:46 Numpy Save and Load 00:46:44 Pandas 00:47:10 Pandas Series Object 00:49:32 Changing Index 00:50:49 Series object from Dictionary 00:53:01 Extracting Individual Elements 00:57:39 Pandas Dataframe 00:58:15 Creating a Dataframe 01:00:36 Dataframe In-build Function 01:03:07 .iloc and loc function 01:07:02 Dropping Columns 01:08:22 Dropping rows 01:11:00 Matplotlib 01:11:12 Line plot 01:25:18 Bar plot 01:31:38 Scatter Plot 01:39:33 Histogram 01:46:15 Seaborn Line Plot 01:54:24 Seaborn Bar Plot 02:02:24 Seaborn Scatter Plot 02:07:38 Seaborn Histogram/ Distplot 02:16:56 Types of Statistical Analysis 02:22:29 Inferential Statistics 02:24:56 Descriptive Statistics 02:29:12 Measures of Central Tendency 02:37:40 Measures of Variability 02:43:03 Measures of Relationship 02:48:30 Measures of Skewness 02:51:33 Analysis of Variance 02:56:56 ANOVA Define 03:06:11 Grand Mean 03:10:12 F-Ratio 03:12:16 Hypothesis Testing 03:13:17 Types of Hypothesis Testing 03:18:25 Important Terms in Hypothesis Testing 03:20:30 ANOVA vs.T-test 03:22:06 Applications of ANOVA Test 03:23:01 Machine Learning 03:23:32 Supervised Learning 03:29:39 Unsupervised Learning 03:33:59 Reinforcement Learning 03:37:45 Clustering 03:39:20 Examples of Clustering 03:39:50 Need of Clustering 03:40:42 Types of Clustering 03:43:47 K-Means Clustering 03:44:51 Applications of K-means 03:51:55 Deciding value of K 03:53:00 Elbow Method 03:54:34 Implementation of K-means Clustering 04:19:16 Regression 04:21:24 Use case of Regression 04:23:05 Linear Regression 04:25:14 Multi Linear Regression 04:27:10 Types of Linear Regression 04:31:54 Demo - Simple Linear Regression 04:42:53 Demo- Multiple Linear Regression 05:25:09 Logistic Regression 05:30:23 Use Cases of Logistic Regression and its Demo 06:07:07 Installing MySQL 06:18:00 DML Command 06:48:39 DCL Command 06:56:50 TCL Commands 06:58:10 Joins in MySQL 07:00:14 INNER Join 07:50:17 Full Join 07:59:22 SELF Join 08:06:15 Subquery and Types 08:09:17 Demo on Subqueries 08:36:14 ALL Operators 09:04:06 Need of Gen AI in Data Science 09:05:54 Projects on Data Science 09:50:53 Top Data Science Interview Questions 10:20:23 Summary #datasciencewithpython #datasciencetutorial #datasciencefullcourse #sql #pythonforbeginners 🔥1000+ Free Courses With Free Certificates: https://www.mygreatlearning.com/academy?utm_source=CPV_YT&utm_medium=Desc&utm_campaign=YTVids2024 ⚡ About Great Learning: With more than 11 Million+ learners in 170+ countries, Great Learning is a leading global edtech company for professional and higher education offering industry-relevant programs in the blended, classroom, and purely online modes across technology, data, and business domains. These programs are developed in collaboration with top institutions like Stanford Executive Education, MIT Professional Education, Wharton, University of Arizona, Northwestern University, The University of Texas at Austin, NUS, Microsoft & more.