Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Data Analytics & Visualization With Python
Data Analytics with NumPy, Pandas, MatPlotLib
01 Mysql-Python Database Connectivity (53:20)
02 Numpy, Ndarray Creation, Routines, Attributes (67:55)
03 Ndarray Basic & Advance Indexing-Slicing (40:32)
04 Boolean Indexing, Arithmetic Operation On Array, Broadcasting (40:27)
05 Iteration Over Ndarray, Array Manipulation (50:43)
06 Array Manipulation contd.... (58:27)
07 Ndarray - Mathmetical, Arithmetic, Statistical Functions (50:01)
08 Ndarray - Record Creation, Date-time (47:55)
09 Ndarray - Sorting, Matrix (43:50)
10 IO With Numpy (49:44)
11 PANDAS - Series And Operations On It (53:40)
12 PANDAS - Series Cont.... , Introduction To DATAFRAME (51:44)
13 JUPYTER Notebook, Dataframe Basic Funcionality (58:04)
14 Dataframe Indexing (44:35)
15 Descriptive Statistics (61:02)
16 Dataframe Iteration, Sorting, Reindexing, Statistical Funtions (67:39)
17 Aggregation, Data Cleaning (59:57)
18 Grouping, Joins, Strings (61:49)
19 Dataframe Datetime, Time Delta (51:59)
20 Date Time, IO With Excel, CSV (58:14)
21 IO Contd...., MATPLOTLIB -1 (59:19)
22 MATPLOTLIB- Types of Plots (49:28)
23 Ploting Data, Analysis of E-Com Data (54:29)
24 E-Com Data Ploting, Analysis Cont.... (63:49)
02 Numpy, Ndarray Creation, Routines, Attributes
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock