What you would learn in Mastering Numpy,Pandas and MatplotLib-Data Manipulation Tool course?
If you're looking to pursue a career as a Data Scientist or Data Analyst Machine Learning Expert with Python then Numpy Pandas and Matplotlib library are essential to know in today's world. In this course, you'll learn the in-depth description of the various topics and functions associated with Numpy and pandas, as well as the matplotlib library. In the end, you'll be performing Data Manipulation and Data Visualization. It is possible to say that these tools are the first step to becoming a Data Scientist.
A significant feature that this program offers is that it follows:
1. Every subject is covered practically.2. It is explained in straightforward language.
3. Backgrounds with no programming skills can also be understood effortlessly
4. Explained straightforwardly to help you accomplish the same thing through watching videos.
If you are a Data Science aspirant, this is the ideal course. At present, Data Visualization is an essential tool for making decision-making in companies. With the matplotlib library, you can easily visualize the data with histogram, bar chart pie chart as well scatter diagrams, and other options.
Topics covered in Numpy:
1. Numpy array
2. Slicing and indexing are a mess.
3. View vs. Copy
4. Numpy array Shape, Reshape
5. Numpy array that is iterating
6. Numpy Array joining and Merging
7. Sorting, Searching, and Splitting
8. Filtering
9. Random Module
Topics covered in Pandas:
1. Series
2. DataFrame
3. Import Files and Datasets
4. Concatenating, joining, and Merging
5. Analyzing Data
6. Cleaning Data
7. Data Manipulation
Topics covered by Matplotlib:
1. The importance of data Visualization
2. Visualization of Types of Data
3. The Concepts behind the matplotlib Library
4. Line Plotting
5. Histogram
6. Bar Plot
7. Scatter Plot
8. Pie Chart
9. Box Plot
10. Area Chart
Course Content:
- How do I download and install Jupyter Notebook
- Working using Numpy to perform Numerical Computing
- Working using Array using Numpy. Numpy
- Data management
- Working together with Pandas for data manipulation
- Series and DataFrames
- Reading files using Pandas
- Data Visualization Using Matplotlib Library
- Diagramming Histogram, Bargraph, Scatter Plot, Boxplot, Pie Chart, and many more.
Download Mastering Numpy,Pandas and MatplotLib-Data Manipulation Tool from below links NOW!
