Pandas Course Objectives

Pandas is a vast and easy to use Python library to manage, analyze, clean, explore, and manipulate data. It comes with data structures and built in methods that allow the user to tables and time series.

With the beginner friendly and easy to understand syntax of Python, it is widely used by many people in industry. Pandas being one of the Python libraries allows users to concentrate on the working rather than on the code and also grasp the Pandas concepts easily and code with ease.

The objective of this Pandas course is to give fundamental knowledge of Pandas library and its different aspects. It starts with the linear data Pandas data structure, time series and related built in methods. Following, we discuss data frames and teach to operate on the data frames using different built in methods that come as a part of the library.

It covers different operations that can be applied to the data frames including creation, accessing, and filtering. In addition, modification of data frames, handling missing and duplicates, merging and concatenating different data frames, etc. are also discussed.

This Pandas course is inclusive of various coding examples and quizzes for the topics discussed which gives more understanding of the respective concepts. Also, real time projects are available for giving hands on experience for the learners. In addition, the course materials are downloadable for accessing the content even when you are offline.

Overall, this Pandas course will let you master the fundamentals of data analysis with the Python library Pandas. It allows the learner to explore insights from a given data using the Pandas, offering valuable skills in data analysis and development.

With the increasing opportunities in the different domains involving data, anyone with the knowledge and skills of Pandas would be able to land a respective job. Thus, this course is designed with a motive to help you land a job of your choice.

Why should you learn Pandas?

• Data Analytics Market Size is assumed to Achieve USD 329.8 Billion by 2030 growing at 29.9% CAGR
• Pandas share of all developers using pandas in 2022 (25%) matches the share Python had six years ago!
• Studies state that about half of all Python users are pandas users
• Pandas is now very popular in the industry as Python was in 2016
• 65% of Pandas users want to continue using it in the future, which is very close to the levels Python had in 2022 (67%)
• Pandas is the most popular data analysis Python library
• 52% to 55% of Python users are pandas users

What is Pandas?

Pandas is an easy to use, open source and vast Python library used for data analysis, data science and machine learning tasks. This library provides high-performance data manipulation in Python and is free to use, and modify, and can be used for effectively handling large amounts of data. It provides different data structures and methods to access, manipulate, explore and analyze those data. This library, which is built on top of numpy, is fast and flexible for the users willing to extract information from data. It helps you to create, import, and export data frames. Also, Pandas allows access data frames using slicing, indexing, subsetting and filtering. It consists of methods to aggregate data for missing values, etc. It also provides features to calculate descriptive statistics by calculating metrics such as the mean, standard deviation, etc. In addition, it also allows to merge, join and concat different data. It also consists of another data structure, time series, which is widely used for detecting and predicting the underlying patterns over time. Different built in methods associated with this data structure are also included in the library. Being one of the most widely used data-wrangling tools, Pandas also integrates well with a variety of different Python data science modules. It is one of the top Python libraries used by many industry people dealing with data analysis and related tasks. Also, using Pandas one can do a multitude of operations on data, and grasp required information which made world-leading data scientists vote for Pandas as the best data analysis and manipulation tool available. Different domains including academics, economics, advertising, and many more are increasingly depending on data and the information obtained from it. This resulted in a massive number of job opportunities for individuals with data analytics skills, especially with Python coding. To conclude it is a one stop choice for any person having the need and interest to learn to handle data using Pandas and grasp all the fundamentals required for analyzing data. With the acquired coding skills with Python Pandas library, one can guide themselves to land in the respective job of their interest.

What to do before you begin?

You have basic understanding of Python Pandas is one of the popular Python libraries used for data creation, manipulation, and analysis. It is suggested that the learner has a basic understanding of the Python Programming language which would help in grasping the coding concepts easily. It is also recommended that the user has a PC or laptop with a minimum of an i3 processor, a 20 GB disk, and 4 GB RAM. And also have a Python compiler installed in the system. It would help in practicing the coding examples and also do hands on experience with the real time Pandas projects.

Who should go for this free Pandas course?

This Pandas Course is designed for IT professionals who want to pursue a career into dealing with data handling and analysis. This Pandas Training guides you to grab the opportunities and excel in respective domain. It is best suited for:

• Freshers
• Developers looking for migrating to Data science domain
• Machine Learning engineers searching for pre processing skills
• Python engineers looking for data analysts jobs
• Professionals with IT background
• Data Analyst looking for Python Pandas skills
• Researchers working on data

By enrolling in our Pandas course, you can expect the following benefits:

This Pandas Course comes with many benefits starting with giving fundamentals of Pandas library. It also gives in-depth information of the Pandas library discussing different methods that can be done with dataframes. Operations including data frame creation, importing, accessing and filtering data. Also, aggregating data frames for handling null values, group by, etc., merging, concatenating, and joining data frames are covered as a part of this training. It also includes time series data structures and related built in functions. In addition to this, the Pandas course is inclusive of coding examples and quizzes that give more understanding of Pandas’ Concepts. Also, the course material is available for downloading offline for future reference. It also comes with some real time projects that give hands-on experience with the library. Also, course completion certificate will be provided upon completion of the course. Furthermore, this training guides you to land a job in the respective domain. You will learn in this Pandas course: Participants will get to learn skills to analyze data using the Python library, Pandas. You will also learn to create, access, analyze, filter, modify, and merge the data frames using the builtin methods within the Pandas library. This course will also include coding examples along with quizzes which will help you have a complete grasp of the concepts you learn. In addition, it comes with real time projects to give you hands-on experience. Thus, Industry-ready training will be provided as part of the course with the help of codes and projects. The complete course is aligned to make a person master data handling and analysis skills. During the course of the training, you will get to learn the following concepts:

• Pandas series and related operations
• Get introduced to the pandas data frames
• Learn to create, import, and export data frames
• Understand aggregation of the dataframes
• Get to know how to access and filter data
• Join, concat, and merge the data frames
• Get hands on with codes and real time projects

Jobs after Learning this Pandas Course

Pandas is one of the top Python libraries used for data analysis which comes with a wide range of built in functions used for accessing, modifying, and analyzing the data. The increase in the use of the available data and the requirement for tools to handle huge volumes of data led to the popularity of data analytic tools like Pandas Pandas is a python library that allows managing tabular data, technically called dataframes. It consists of a wide range of methods and operations as a part of the library which allows it to handle the data, thus, making it easy for the developers to operate the data frames with only a few lines of code. The simple Python syntax added with the extensive Pandas library, makes Pandas as one of important signals required by the industry. In addition, data has become an inevitable part of various industry domains, including marketing, healthcare, business, finance, banking, and many more. Thus, this leads to many opportunities for the people with data handling skills. After getting trained in the course on Python Pandas, some of the jobs the trainers can land into are:

• Data Scientist
• Machine learning engineer
• Data analyst
• Business analyst
• Senior Data engineers
• Python Developer
• Big Data Developer
• Data Extraction Engineer Python
• Senior Analyst

Our students are working in leading organizations