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We're here to help you find itData Analysis using Pandas Course Overview
The Data Analysis using Pandas course is a comprehensive program designed to equip learners with the skills necessary to process, analyze, and visualize data in Python using the Pandas library. Recognized as one of the best pandas courses available, it covers all facets of data handling, from basic manipulation to advanced techniques.
Starting with an introduction to Data analysis concepts, the course progresses through the Fundamental attributes and methods of Pandas, dives deep into Series and DataFrames, explores Handling text data, and teaches efficient Data aggregation with GroupBy. It also covers Complex indexing with MultiIndex, Data merging techniques, and Working with time series data.
By the end of the course, participants will have hands-on experience and could pursue pandas certification to validate their expertise. This curriculum is tailored to provide a solid foundation in data analysis, enabling learners to tackle real-world data challenges with confidence and precision.
Successfully delivered 4 sessions for over 16 professionals
Beginner
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USD
View Fees Breakdown
Course Fee | 1,075 |
Total Fees |
1,075 (USD) |
USD
View Fees Breakdown
Course Fee | 850 |
Total Fees |
850 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
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You can request classroom training in any city on any date by Requesting More Information
To ensure a successful learning experience in the Data Analysis using Pandas course offered by Koenig Solutions, students should have the following minimum prerequisites:
Basic understanding of programming concepts: Students should be familiar with fundamental programming principles, which can be obtained through introductory courses in programming or practical experience.
Knowledge of Python: Since Pandas is a Python library, a foundational knowledge of Python syntax and concepts is essential to work effectively with Pandas.
Familiarity with data structures: A grasp of basic data structures like lists, tuples, and dictionaries in Python will be beneficial.
Understanding of basic mathematics: Comfort with basic mathematical operations and concepts will be helpful as data analysis often involves mathematical computations.
Basic knowledge of statistics: While not mandatory, a rudimentary understanding of statistical concepts can be advantageous when analyzing and interpreting data.
Please note that this course is designed to accommodate learners who are new to data analysis, provided they meet the above prerequisites. Our aim is to build upon these foundational skills to help you become proficient in using Pandas for data analysis tasks.
This course offers a comprehensive guide to Data Analysis using Pandas, tailored for professionals seeking to enhance their data manipulation skills.
Target Audience:
This Data Analysis using Pandas course equips learners with the skills necessary to manipulate, analyze, and visualize data efficiently using the Pandas library in Python.
These objectives and outcomes are designed to provide students with a comprehensive understanding of Pandas and the ability to perform sophisticated data analysis tasks in real-world scenarios.