SQL + Tableau + Python
Your Instructor
We create online on-demand video courses in data science. The 365 Data Science Program is comprised of different modules starting from the fundamentals (Mathematics, Probability, and Statistics), going through programming languages (Python, R, SQL) and finishing off with state-of-the-art machine and deep learning.
We have a team of experts that create the curriculum and the course content, who work closely with our talented designers to bring the concepts to life in the most engaging and understandable way using specialized animation software. We strive to make the learning experience not only all-inclusive, detailed, and thorough, but also interactive, practical, and fun.
Course Curriculum
Software Integration
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days
days
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What's Next in the Course?
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Preprocessing the 'Absenteeism_data'
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days
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after you enroll
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StartOrganization of the Content in the Next Sections
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StartImporting the Data Set in Python (3:23)
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StartEyeballing the Data (5:53)
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StartIntroduction to Terms with Multiple Meanings (3:27)
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StartARTICLE - A Refresher on Regression Analysis
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StartAn Analytical Approach to Solving the Task (2:17)
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StartDropping the "ID" Column (6:27)
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StartDropping the "ID" Column - Solution
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StartAnalysis of the "Reason for Absence" Column (5:04)
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StartConverting a Feature into Multiple Dummy Variables (8:37)
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StartConverting a Feature into Multiple Dummy Variables - Solution
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StartARTICLE - Dropping a Dummy Variable
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StartWorking with Dummy Variables from a Statistical Perspective (1:28)
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StartGrouping the Various Reasons for Absence (8:35)
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StartConcatenating Column Values (4:35)
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StartConcatenating Column Values - Solution
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StartReordering Columns (1:43)
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StartReordering Columns - Solution
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StartCreating Checkpoints in Jupyter (2:52)
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StartCreating Checkpoints in Jupyter - Solution
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StartWorking on the "Date" Column (7:48)
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StartExtracting the Month Value (7:00)
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StartCreating the "Day of the Week" Column (3:36)
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StartARTICLE/EXERCISE - Dropping the "Date" Column
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StartModifying "Education" and discussing "Children" and "Pets" (4:38)
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StartAnalyzing the Next 5 Columns in our DataFrame (3:17)
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StartFinal Remarks on the Data Preprocessing Part of the Exercise (1:59)
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StartA Note on Exporting Your Data as a *.csv File