Python Data Wrangling Training

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Python Data Wrangling Training Course Overview

Python Data Wrangling Training by Multisoft Systems offers an immersive educational experience designed to equip participants with the skills needed to manipulate and transform data efficiently using Python, one of the most popular programming languages for data analysis. This course delves into practical techniques for data cleaning, transformation, and preparation, essential for accurate data analysis and decision-making. Participants will learn how to handle missing values, normalize data, merge datasets, and convert data types using powerful Python libraries such as Pandas and NumPy. The training emphasizes real-world applications, providing hands-on exercises that mimic industry scenarios to ensure that learners can apply their knowledge immediately in their professional roles.

The curriculum is tailored to benefit both beginners and intermediate programmers who aim to enhance their data manipulation capabilities. Upon completion, learners will be proficient in using Python to perform complex data wrangling tasks, making them valuable assets in any data-driven industry. With expert instructors and comprehensive material, this training is a stepping stone towards mastering data analytics and advancing in the field of data science.

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Python Data Wrangling Training Course curriculum

Curriculum Designed by Experts

Python Data Wrangling Training by Multisoft Systems offers an immersive educational experience designed to equip participants with the skills needed to manipulate and transform data efficiently using Python, one of the most popular programming languages for data analysis. This course delves into practical techniques for data cleaning, transformation, and preparation, essential for accurate data analysis and decision-making. Participants will learn how to handle missing values, normalize data, merge datasets, and convert data types using powerful Python libraries such as Pandas and NumPy. The training emphasizes real-world applications, providing hands-on exercises that mimic industry scenarios to ensure that learners can apply their knowledge immediately in their professional roles.

The curriculum is tailored to benefit both beginners and intermediate programmers who aim to enhance their data manipulation capabilities. Upon completion, learners will be proficient in using Python to perform complex data wrangling tasks, making them valuable assets in any data-driven industry. With expert instructors and comprehensive material, this training is a stepping stone towards mastering data analytics and advancing in the field of data science.

  • Gain a fundamental understanding of data wrangling processes and their importance in data analytics and data science.
  • Learn to utilize Python libraries such as Pandas, NumPy, and Matplotlib for effective data manipulation and visualization.
  • Acquire skills to handle and clean data, including dealing with missing values, removing duplicates, and correcting inconsistencies.
  • Master techniques for transforming data, including normalization, scaling, and data type conversions to prepare data for analysis.
  • Learn methods for combining datasets using merges and joins to enrich data sources and enhance analytical capabilities.

Course Prerequisite

  • Familiarity with Python programming fundamentals such as variables, data types, functions, and control structures.
  • Basic understanding of common data types and structures, especially lists, dictionaries, and arrays.

Course Target Audience

  • Data Analysts
  • BI Professionals
  • Aspiring Data Professionals
  • Software Engineers
  • Students in Computer Science and Related Fields

Course Content

  • Python for Data Wrangling
  • Lists, Sets, Strings, Tuples, and Dictionaries

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  • Advanced Data Structures
  • Basic File Operations in Python

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  • NumPy Arrays 
  • Pandas DataFrames 
  • Statistics and Visualization with NumPy and Pandas 
  • Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame 

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  • Subsetting, Filtering, and Grouping 
  • Detecting Outliers and Handling Missing Values 
  • Concatenating, Merging, and Joining 
  • Useful Methods of Pandas 

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  • Reading Data from Different Text-Based (and Non-Text-Based) Sources 
  • Introduction to BeautifulSoup4 and Web Page Parsing 

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  • Advanced List Comprehension and the zip function 
  • Data Formatting 

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  • Basics of Web Scraping and BeautifulSoup libraries 
  • Reading Data from XML 

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  • Refresher of RDBMS and SQL
  • Using an RDBMS (MySQL/PostgreSQL/SQLite)

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  • Applying Your Knowledge to a Real-life Data Wrangling Task
  • An Extension to Data Wrangling

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Python Data Wrangling Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Python Data Wrangling Corporate Training

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Python Data Wrangling Training FAQ's

Data wrangling, often referred to as data munging, is the process of cleaning, structuring, and enriching raw data into a desired format for better decision making in less time.

This training is ideal for data analysts, data scientists, business analysts, IT professionals, and anyone interested in improving their data handling capabilities using Python.

You will learn how to clean, manipulate, and analyze data effectively using Python’s libraries such as Pandas and NumPy. The course covers data cleaning techniques, data transformation, and merging datasets for comprehensive analyses.

Yes, basic knowledge of Python programming is required, including an understanding of its syntax and fundamental programming constructs.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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