Mastering Numpy,Pandas and MatplotLib-Data Manipulation Tool udemy course free download

What you'll learn:

Mastering Numpy, Pandas and MatplotLib-Data Manipulation Tool

  • Download and set up Jupyter Notebook.
  • Working with Numpy to do Numerical Computing, as shown
  • In Numpy, you can work with arrays.
  • Keeping track of data.
  • Working with Pandas to change data.
  • This word is more relevant: series and data frames.
  • Using Pandas, I can read files.
  • Use Matplotlib Library to Make Data Visualizations.
  • Assembling a Histogram, Bargraph and many other types of graphs and charts. Boxplot and Pie Chart are also shown.

Requirements::

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.

Important Feature of this course is as follows:

1. Every topic is covered practically.
2. Explained in very easy language.
3. Non-Programming background can also understand easily
4. Demonstrated in a simple way so that you can do the same by watching videos.

For Data Science aspirants, this is the best course. Nowadays Data Visualization is an important tool to make decisions in organizations. Here using matplotlib library you can easily visualize the data using histogram, bar chart, pie chart, scatter diagram and many more.

Topics Covered in Numpy:

1. Numpy Array

2. Numpy indexing and Slicing

3. Copy vs View

4. Numpy Array Shape, Reshape

5. Numpy Array Iterating

6. Numpy Array joining and Merging

7. Splitting , Searching and Sorting

8. Filtering

9. Random Module

Topics Covered in Pandas:

1. Series
2. DataFrame

3. Import Files/Dataset

4. Merging , Joining and Concatenating

5. Analyzing Data

6. Cleaning Data

7. Data Manipulation

Topics Covered in Matplotlib:

1. Importance of Data Visualization

2. Type of Data Visualization

3. Concepts of matplotlib Library

4. Line Plotting

5. Histogram

6. Bar Plot

7. Scatter Plot

8. Pie Chart

9. Box Plot

10. Area Chart

Who this course is for:

Course Details:

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