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Python Libraries-8 hours | Python for Data Science for Beginners 2023 | Beginner to Advance | Part-2

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Hi Students, @theiScale brings to you 30 hour Master Class in Python Programming for DATA SCIENCE, in which we will teach Python from Basic to Advance Level. We will also discuss END TO END PROJECT in Python, which will help you build a Strong Portfolio.
This 30 hours LIVE Master Class will gives you a better opportunities to learn and implement new things in #pythonprogramming which makes you industry-ready and grab a good salary package as a fresher's in Data Science or Data Analyst and also help to switch to higher salary packages if you have experience.
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💢 For Any Further Queries or Doubts? Contact- 7880-113-112
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Timestamps :
00:00 - 04:11: Introduction to Python Libraries
Day-12
04:11: Numpy Library Part – 1
06:11- 13:42: What is Numpy & Why we use Numpy in Data Science?
6:12 – 27:46: How to check the dimensions of array?
27:47 – 32:30: Creating higher dimensional array
32:59 – 38:09: Adding the elements in array
Day-13
47:55: Numpy Library Part – 2
48:03 – 1:04:28: Slicing of Numpy arrays
1:04:40 – 1:08:00: Checking the data type of array
1:08:04 – 1:10:24: Creating array with different data types
1:10:25 – 1:15:00: Numpy array shape
1:15:51 – 1:21:00: Joining Numpy array
1:21:37 – 1:24:01: Splitting Numpy array
1:25:03 -1:34:57: Ravel, Flatten, Unique, Delete Function
Day-14
01:40:17 : Pandas Library Part – 1
1:43:50 -1:53:00 : What is pandas library and its advantages? & why we use it?
1:53:10 – 1:58:30 : Importing & Loading data set
1:58:31-2:02:13 : Head,tail,dtypes
2:02:15-2:17:00 : Describe Function
2:17:09-2:28:00 : Indexing & Slicing
2:28:01-2:36:56 : Creating & Adding new columns
Day-15
02:42:05 : Pandas Library Part – 2
2:42:05-3:00:00 : Changing index and managing the missing values
3:00:01 – 3:17:14 : Adding and Deleting rows and columns
3:18:00-3:28:36 : Re-setting the index in the data frame
3:28:39-3:42:00 : Data cleaning in pandas
Day-16
03:44:17 : Matplotlib Library Part – 1
3:44:17-3:54:38 : What is Matplotlib Library
3:55:00- 4:02:59 : What are the different types of plots in matplotlib library?
4:03:00 – 4:12:29 : Importing library and plotting line graph
4:13:00-4:28:31 : Plotting bar graph
4:28:32 – 4:36:32 : Plotting scatter plot
Day-17
04:41:50 : Matplotlib Library Part – 2
Working with image type of data in matplotlib
Day-18
05:36:03 : Seaborn Library Part – 1
05:36:03-5:49:28 : What is a Seaborn Library & why we use this?
05:49:28 – 6:02:32 : Difference between pandas, matplotlib and seaborn library:
6:02:32-6:5:45 : Plotting various plots in Seaborn Library:
Day-19
06:29:56 : Seaborn Library Part – 2
06:29:56-6:34:53 : Bar plot in seaborn library
6:35:00-7:11:25 : Histogram, bins, order and various parameters for plotting a graph
Day-20
07:19:21 : Plotly Library
7:19:21-7:21:00 : What is plotly library?
7:21:00-7:30:44 : Difference between seaborn, plotly and matplotlib library?
7:30:45-8:12:30 : Drawing various plots in plotly library:
08:17:49 : Stay tuned: Python for Data Science Part-3 Projects | Thank You and Keep Coding!
🔖Hashtags🔖
#python #pythonclass #pythonprogramming #pythontutorial #pythonforbeginners #data #datascience #dataanalytics #datastructures #live #liveclass #liveclasses #education #educationforall #educational #educationalvideo #swatimam #industrieshelpinghands #machinelearning #ai #artificialintelligence #sql #dataanalysis #free #freecourse #freeclasses #pythonprojects #pythonbasics #dataanalyst #dataengineer #datascientist #datastructures #pythonlibraries #numpy #panda #pandas #matplotlib #seaborn #jupyternotebook #plotly #jupyter #jupyterlab
This 30 hours LIVE Master Class will gives you a better opportunities to learn and implement new things in #pythonprogramming which makes you industry-ready and grab a good salary package as a fresher's in Data Science or Data Analyst and also help to switch to higher salary packages if you have experience.
➖➖➖➖➖➖
➖➖➖➖➖➖
➖➖➖➖➖➖
➖➖➖➖➖➖
💢 For Any Further Queries or Doubts? Contact- 7880-113-112
➖➖➖➖➖➖
Timestamps :
00:00 - 04:11: Introduction to Python Libraries
Day-12
04:11: Numpy Library Part – 1
06:11- 13:42: What is Numpy & Why we use Numpy in Data Science?
6:12 – 27:46: How to check the dimensions of array?
27:47 – 32:30: Creating higher dimensional array
32:59 – 38:09: Adding the elements in array
Day-13
47:55: Numpy Library Part – 2
48:03 – 1:04:28: Slicing of Numpy arrays
1:04:40 – 1:08:00: Checking the data type of array
1:08:04 – 1:10:24: Creating array with different data types
1:10:25 – 1:15:00: Numpy array shape
1:15:51 – 1:21:00: Joining Numpy array
1:21:37 – 1:24:01: Splitting Numpy array
1:25:03 -1:34:57: Ravel, Flatten, Unique, Delete Function
Day-14
01:40:17 : Pandas Library Part – 1
1:43:50 -1:53:00 : What is pandas library and its advantages? & why we use it?
1:53:10 – 1:58:30 : Importing & Loading data set
1:58:31-2:02:13 : Head,tail,dtypes
2:02:15-2:17:00 : Describe Function
2:17:09-2:28:00 : Indexing & Slicing
2:28:01-2:36:56 : Creating & Adding new columns
Day-15
02:42:05 : Pandas Library Part – 2
2:42:05-3:00:00 : Changing index and managing the missing values
3:00:01 – 3:17:14 : Adding and Deleting rows and columns
3:18:00-3:28:36 : Re-setting the index in the data frame
3:28:39-3:42:00 : Data cleaning in pandas
Day-16
03:44:17 : Matplotlib Library Part – 1
3:44:17-3:54:38 : What is Matplotlib Library
3:55:00- 4:02:59 : What are the different types of plots in matplotlib library?
4:03:00 – 4:12:29 : Importing library and plotting line graph
4:13:00-4:28:31 : Plotting bar graph
4:28:32 – 4:36:32 : Plotting scatter plot
Day-17
04:41:50 : Matplotlib Library Part – 2
Working with image type of data in matplotlib
Day-18
05:36:03 : Seaborn Library Part – 1
05:36:03-5:49:28 : What is a Seaborn Library & why we use this?
05:49:28 – 6:02:32 : Difference between pandas, matplotlib and seaborn library:
6:02:32-6:5:45 : Plotting various plots in Seaborn Library:
Day-19
06:29:56 : Seaborn Library Part – 2
06:29:56-6:34:53 : Bar plot in seaborn library
6:35:00-7:11:25 : Histogram, bins, order and various parameters for plotting a graph
Day-20
07:19:21 : Plotly Library
7:19:21-7:21:00 : What is plotly library?
7:21:00-7:30:44 : Difference between seaborn, plotly and matplotlib library?
7:30:45-8:12:30 : Drawing various plots in plotly library:
08:17:49 : Stay tuned: Python for Data Science Part-3 Projects | Thank You and Keep Coding!
🔖Hashtags🔖
#python #pythonclass #pythonprogramming #pythontutorial #pythonforbeginners #data #datascience #dataanalytics #datastructures #live #liveclass #liveclasses #education #educationforall #educational #educationalvideo #swatimam #industrieshelpinghands #machinelearning #ai #artificialintelligence #sql #dataanalysis #free #freecourse #freeclasses #pythonprojects #pythonbasics #dataanalyst #dataengineer #datascientist #datastructures #pythonlibraries #numpy #panda #pandas #matplotlib #seaborn #jupyternotebook #plotly #jupyter #jupyterlab
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