EDA Python | Batch 271_273 _277
FREE
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Course Overview
Schedule of Classes
Start Date & End Date
Feb 14 2024 - Mar 08 2024
Total Classes
18 Classes
Course Curriculum
1 Subject
EDA Using Python | Batch 271_273 _277 | M0100086
3 Exercises • 34 Learning Materials
Data Analysis
22nd Jan Revision
23rd Jan - Numpy I
23rd Jan - Numpy I
24th Jan - Numpy II - Slicing
25th Jan- Numpy III
27th Jan - Image processing using Numpy
31st Jan Numpy Functions
31st Jan - Numpy Functions
1st Feb - Descriptive Statistics
2nd Feb - Measures of central tendency
6th Feb - Measures of Dispersion
7th Feb - Kurtosis and Skewness
8th Jan - Relative measures of Dispersion
13th Feb - Numpy Functions
14th Feb - reading data using numy and advance fuctions
15th Feb - Datetime and time delta in numpy
16th Feb - Numpy Image Analysis
19th Feb - pandas series, reading pandas dataframe, loc, iloc
20th Feb - Pandas Dataframe Operations
21 Feb-Handling Timeseries Data
22 Feb-Basic Visualizations using pandas
26 Feb-Pandas Groupby and examples on groupby
Pandas_groupby (27th Feb Reference Video)
Pandas_groupby_exercise (27th Feb Reference Video)
pandas_Pivottable _crosstab (27th Feb Reference Video)
28 Feb-Excercises on Crosstab and groupby
29 Feb-Pandas Multi-index and exercise on multi indexing
1 Mar-MultiIndex
4 Mar-Pandas - Merges
5 Mar-Pandas Merges
6 Mar-Pandas Case study
7 Mar- Groupby and Crosstab
8 Mar-How to read data from different Sources
Interview Questions
Python Interview Questions
Assignment
Numpy Assignment
23/02/2024 - Assignment
Excel Assignment
Course Instructor
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Innomatics Research Labs
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Trainer
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