Data Science Using Python
Your Instructor
Yoseph A. Kassaye has been programming for around 15 years and teaching for almost 5 years. He is equiped with two masters degree, microsoft Certified professional, scrum master . He is the owner of YaYoBE which is a successful web development and Software Development company and specializes in everything from HTML5 to front end frameworks like Angular as well as server side technologies like Node.js, C#, Asp.NET, MVC, Mobile development (both Swift and Android). Yoseph has mastered explaining very complex topics in a simple manner that is very understandable. Invest in your knowledge by watching Yoseph's courses.
This course is prepared for those who would like to lean Technology in Amharic.
Course Curriculum
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PreviewData Science in Amharic Part 1- Introduction (13:59)
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PreviewData Science in Amharic Part 2- Required Knowledge (6:10)
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PreviewData Science in Amharic Part 3- Why Python (3:24)
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StartData Science in Amharic Part 4- Installation (6:05)
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StartData Science in Amharic Part 5- Jupyter Notebook (9:40)
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StartData Science in Amharic Part 6- Jupyter Notebook Shortcut (10:15)
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StartData Science in Amharic Part 7-Jupyter Magic (11:39)
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StartData Science in Amharic Part 8- Data Extraction from SQLITE (16:36)
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StartData Science in Amharic Part 9- Data Extraction from SQL Server (9:54)
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StartData Science in Amharic Part 10-Creating Template Data Science Project using CookieCutter (11:15)
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StartData Science in Amharic Part 11- Getting Titanic Data Set from Kaggle (10:46)
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StartData Science in Amharic Part 12- Other Publicly Available Data Sets (4:37)
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StartData Science in Amharic Part 13- Data Analysis (17:04)
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StartData Science in Amharic Part 14 Analyzing Data Part B (21:47)
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StartData Science in Amharic Part 15- Introduction to Pandas (7:08)
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StartData Science in Amharic Part 16-Pandas-Importing Data from different Sources (9:33)
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StartData Science in Amharic Part 17-Pandas-Reading Data (13:17)
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StartData Science in Amharic Part 18-Pandas-Describing and Sorting Data (10:00)
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StartData Science in Amharic Part 19-Data Summary (8:51)
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StartData Science in Amharic Part 20- Saving Data (10:38)
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StartData Science in Amharic Part 21- Data Filter (7:16)
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StartData Science in Amharic Part 22- Conditionally Modifying Data (6:58)
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StartData Science in Amharic Part 23- Regular Expression (6:22)
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StartData Science in Amharic Part 24- Summary Statistics Overview (15:10)
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StartData Science in Amharic Part 25- Variance and Standard Deviation (7:41)
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StartData Science in Amharic Part 26- Mean, median Min and Max-demo (7:30)
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StartData Science in Amharic Part 27- Percentile Variance and Standard Deviation Demo (4:21)
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StartData Science in Amharic Part 28- Plotting Data (12:50)
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StartData Science in Amharic Part 29- Distribution of Data (7:30)
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StartData Science in Amharic Part 30- Distribution of Data Demo (13:49)
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StartData Science in Amharic Part 31 Grouping Data (8:36)
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StartData Science in Amharic Part 32 Cross tabs and Pivote (8:08)
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StartData Science in Amharic Part 33 Data munging (10:33)
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StartData Science in Amharic Part 34 Missing Data I (13:20)
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StartData Science in Amharic Part 35 Missing Data II (4:10)
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StartData Science in Amharic Part 36 Outliers-Introduction (13:39)
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StartData Science in Amharic Part 37- ow to resolve Outlier (14:52)
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StartData Science in Amharic Part 38 Feature Engineering (4:24)
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StartData Science in Amharic Part 39 Feature Engineering Demo (9:28)
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StartMore will be added soon...