Module 1: Introduction and Installation
Module 2: Getting Started with Pandas
Module 3: User Guide
Module 4: Pandas Ecosystem
Module 5: Development Phase
The Pandas for Data Analysis Course aims at equipping delegates with the knowledge and skills to manipulate, analyse, and visualise data using the Pandas library in Python. The following professionals can benefit greatly with this course:
There are no formal prerequisites to attend Pandas for Data Analysis Course. However, a basic knowledge of programming can be beneficial in this Data Analysis Training.
In the realm of data science, Pandas stands as a beacon of efficiency and versatility. This open-source Python library offers high-performance tools for data analysis and data structure manipulation. With its extensive capabilities, Pandas has become indispensable in various fields, including statistics, economics, and analytics.
Data Scientists, Analysts, Economists, and anyone dealing with data in Python can greatly benefit from mastering this versatile library. Pandas simplifies data manipulation tasks, allowing professionals to clean, transform, and analyse data efficiently. In an era where data quality and speed are essential, Pandas empowers professionals to make informed decisions, extract valuable insights, and drive business success.
Over the course of this intensive 2-day training by the Knowledge Academy, delegates will embark on a comprehensive journey through Pandas and its data structures. They will gain a deep understanding of how to work with various data types, including text, missing, and categorical data, enabling them to handle diverse datasets effectively. Delegates will also explore essential Pandas operations such as merging, joining, concatenating, reshaping, etc.
Course Objectives
Upon completing this Data Science course, delegates will benefit from enhanced proficiency in data analysis using Pandas. They will be equipped with the skills to efficiently manipulate diverse datasets, perform essential Pandas operations, and utilise data visualisation techniques.
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Pandas for Data Analysis Training Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Master Pandas for Data Analysis Training with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.
Structured Yet Flexible Learning
Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.
Engaging & Interactive Training
Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Pandas for Data Analysis Training industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.
Expert-Led Course
Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.
Global Training Accessibility
Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.
Experience the most sought-after learning style with The Knowledge Academy's Pandas for Data Analysis Training Course. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Pandas for Data Analysis Training sessions.
Highly experienced trainers
Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience
State of the art training venues
We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible
Small class sizes
Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment
Great value for money
Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value
Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Pandas for Data Analysis Training Course at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.
Tailored learning experience
Leverage benefits offered from a certification that fits your unique business or project needs
Maximise your training budget
Cut unnecessary costs and focus your entire budget on what really matters, the training.
Team building opportunity
Our Pandas for Data Analysis Training Course offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings
Monitor employees progress
The course know-how will help you track and evaluate your employees' progression and performance with relative ease
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get
yourself
on the waiting list for the next day!
Our training experts have compiled a range of course packages on a variety of categories in Pandas for Data Analysis Training, to boost your career. The packages consist of the best possible qualifications with Pandas for Data Analysis Training, and allows you to purchase multiple courses at a discounted rate.
Please arrive at the venue at 8:45am.
There are no prerequisites to attend this course. However, a basic knowledge of programming would be beneficial.
Anyone wishes to develop their knowledge and skillset on python libraries can attend this course. This course is beneficial for those who want to make a career in data science and data analytics.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 2 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The training fees for Pandas for Data Analysis Trainingin China starts from $3195
The Knowledge Academy is the Leading global training provider for Pandas for Data Analysis Training.
Please see our Data Science Courses courses available in China
Vishal Kakkar
He was a good trainer
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Flexible delivery methods are available depending on your learning style.
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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