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 easily4. 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 Array2. Numpy indexing and Slicing3. Copy vs View4. Numpy Array Shape, Reshape5. Numpy Array Iterating6. Numpy Array joining and Merging7. Splitting , Searching and Sorting8. Filtering9. Random ModuleTopics Covered in Pandas:1. Series2. DataFrame3. Import Files/Dataset4. Merging , Joining and Concatenating5. Analyzing Data6. Cleaning Data7. Data ManipulationTopics Covered in Matplotlib:1. Importance of Data Visualization2. Type of Data Visualization3. Concepts of matplotlib Library4. Line Plotting5. Histogram6. Bar Plot7. Scatter Plot8. Pie Chart9. Box Plot10. Area Chart
