Pandas and NumPy Tutorial (4 Courses, 5+ Projects)

Objectives

This course has been focused on training folks on Pandas and NumPy. All the concepts that revolve around these libraries will be detailed very precisely through this course. The sole objective of this course is to enrich the trainees with the entire set of skills that are required to work with these python-based libraries.

Course Highlights

• This training has been concluded in nine units. All the units contain unique topics and include various examples that will be used to clarify the concepts to the trainees.
• Pandas with Python Tutorial will be the first unit of the course which will be around six hours long video. In this unit, you will get to learn about the basics of these libraries, what it can offer, and what kind of problems could be solved using these libraries. The initial hour in this unit has been given to explain the introduction while the rest of the time has been devoted to explaining the main concepts.
• The next unit will be NumPy and Pandas. In this section, we will be practicing the practical aspects of this course. This section is an almost two and a half hours long video tutorial where the educator will be detailing the concepts that bring the functionalities through these libraries.
• Machine Learning with Tensorflow will be the third unit and as the name suggests, we will be mastering machine learning with the help of Tensorflow. All the concepts that are directly or indirectly associated with Tensorflow will be covered in this unit and you will be learning everything from the implementation level. After completing this unit, you will be able to work effectively with the concepts of ML using Tensorflow.
• Statistics for Data Science using Python is the next unit where all the concepts that fall under the court of statistics will be explained. We will be implementing the concepts of Data science that are concerned with Statistics, in this section. We will be learning everything practically in this unit and the theoretical explanation will also be there.

Project Highlights

• This course has a total of four projects and the first project will be based on Data Analytics with Data Exploration Case Study. In this project, we will be using the concepts covered in the course to develop the solution. You will get to learn about various new concepts in this project and will also master the topics that revolve around data analytics.
• Project on Pandas – Data Management for Retail Dataset will be the next important project that has been added to this training. You will get to learn about the approach that is used to develop the data management based solution. To complete the projects, you will be working using python and all the libraries that we got covered in this training.
• Machine Learning with Python Project – Predict Diabetes on Diagnostic Measures will be the next project and as the name suggests, it will be a project on Diabetes prediction which will be developed using Python. In the project, you will come across some of the usual error that pops up while trying to implement the concepts of Machine learning. You will be learning very thoroughly about those errors and will also learn the approach to resolve them.
• The next project will be Project on Python Data Science – Predicting the Survival of Passengers in Titanic. In this project, we will be developing a solution to the problem that requires prediction power to get resolved. You will be learning about error handling in this course so that you will become able to handle the errors while implementing the concepts.
• Analyzing the Quality of White Wines will be the last unit and as the name suggests, we will be drafting a solution to analyze the quality of white wines. After completing all of these projects, you will be ample cognizant about the topics covered here and will also be able to implement things from scratch.