| 1. Creation and Initialization of Numpy Array.mp4 | 54.4 MB | ||
| 1. Download and Install Anaconda for Jupyter Notebook.mp4 | 49.7 MB | ||
| 1. Getting Started with Pandas.mp4 | 29 MB | ||
| 1. Importance of Data Visualization.mp4 | 24.6 MB | ||
| 1. Introduction to Numpy Library.mp4 | 11.3 MB | ||
| 1. Joining of Array.mp4 | 32.5 MB | ||
| 1. Merging , Joining and Concatenating.mp4 | 125.1 MB | ||
| 10. Area Chart.mp4 | 24.3 MB | ||
| 2. Analyzing Data.mp4 | 63.2 MB | ||
| 2. Array Splitting.mp4 | 38.3 MB | ||
| 2. Exploring Numpy Array.mp4 | 24.5 MB | ||
| 2. Importing FilesDataset.mp4 | 83.5 MB | ||
| 2. Introduction to Pandas.mp4 | 29.6 MB | ||
| 2. Type of Data Visualization.mp4 | 36.9 MB | ||
| 2. Working with Google Colab.mp4 | 20.3 MB | ||
| 3. Cleaning Data.mp4 | 62.8 MB | ||
| 3. Concepts of matplotlib Library.mp4 | 25.7 MB | ||
| 3. Introduction to Matplotlib.mp4 | 23 MB | ||
| 3. Mathematical Operations using Numpy Array.mp4 | 37.8 MB | ||
| 3. Pandas Data Structure Series.mp4 | 56.1 MB | ||
| 3. Searching.mp4 | 48.6 MB | ||
| 4. Data manipulation.mp4 | 96.5 MB | ||
| 4. Indexing and Slicing.mp4 | 40 MB | ||
| 4. Line Plotting.mp4 | 84.6 MB | ||
| 4. Pandas Data Structure DataFrame.mp4 | 107 MB | ||
| 4. Sorting.mp4 | 31.3 MB | ||
| 5. Histogram Plotting.mp4 | 57.3 MB | ||
| 5. Random Module.mp4 | 37.9 MB | ||
| 6. Bar Plotting.mp4 | 143.2 MB | ||
| 7. Scatter Plot.mp4 | 56.4 MB | ||
| 8. Pie Chart.mp4 | 43.1 MB | ||
| 9. Box Plot.mp4 | 16.8 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 34 total files | |||
Mastering Numpy,Pandas and MatplotLib-Data Manipulation Tool
https://DevCourseWeb.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.57 GB | Duration: 5h 30m
Learn Numpy, pandas and matplotlib library which is the path for Data Science, Machine Learning, Data Analysis
What you'll learn
How to Download and Install Jupyter Notebook
Working with Numpy for Numerical Computing
Working with Array in Numpy
Management of data
Working with Pandas for data manipulations
Series and DataFrames
Reading files using Pandas
Data Visualization Using Matplotlib Library
Plotting Histogram, Bargraph, Scatter Plot, Boxplot, Pie Chart and many more
Description
If you are looking to make a career as a Data Scientist, Data Analyst, Machine Learning Expert using Python, then Numpy, Pandas and Matplotlib library is very important to learn in today's scenario. In this course you will get a detailed explanation of topics and functions related to Numpy, pandas and matplotlib library. After this course, you can able to do Data Manipulation and Data Visualization. You can say these tools are the ladder for the Data Scientist.
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