Data Wrangling Academy – Spring 2027 Cohort 27

Unlock the Power of Data: Join the Data Wrangling Professional Program

Ready to transform raw data into actionable insights?
The Data Wrangling Professional Program is your gateway to mastering the foundational and advanced techniques that every data analyst needs today. Designed with the evolving demands of the data industry in mind, this hands-on course will teach you how to extract, clean, reshape, and prepare data for deep analysis, powerful visualizations, and predictive modeling.

🚀 Course Overview

In today’s data-driven world, the ability to wrangle messy, complex datasets is one of the most critical skills a data analyst can have. This program provides in-depth training on the end-to-end data preparation lifecycle—from sourcing data across multiple platforms to optimizing it for machine learning and business intelligence applications.

You’ll gain proficiency in industry-standard tools like Python (pandas, NumPy, requests, BeautifulSoup, pyjanitor), SQL, and data wrangling techniques in cloud and big data environments.

🎯 What You’ll Learn

By the end of the program, you’ll be able to:

✅ Understand the role and impact of data wrangling in the analytics and machine learning pipeline
✅ Collect structured and unstructured data from APIs, databases, files, and the web
✅ Clean, validate, and standardize data to ensure high quality and reliability
✅ Handle missing data, detect outliers, and resolve formatting inconsistencies
✅ Transform and reshape data using advanced pandas techniques and SQL queries
✅ Leverage tools like dbt, Airflow, and Jupyter Notebooks for scalable and reproducible workflows
✅ Prepare and engineer data for visual storytelling, dashboards, and ML pipelines
✅ Document and automate your data wrangling process for collaboration and reuse

👥 Who Should Attend

This program is designed for aspiring and working professionals who want to sharpen their practical data preparation skills:

• Data Analysts and Data Scientists looking to accelerate their pipeline development
• Business Analysts and Consultants who work with data for insights and reporting
• IT and Data Engineers seeking to build robust, automated data workflows
• Students and Career Changers eager to enter the data analytics field with real-world skills

💡 Why It Matters

As the volume and variety of data grow, so does the need for professionals who can make sense of it. Data wrangling is no longer optional—it’s essential. Whether you’re preparing data for dashboards, machine learning models, or business reports, the ability to structure and clean data determines the success of your analysis.

Start your journey toward becoming a highly sought-after data analyst.
Enroll in the Data Wrangling Professional Program today!

Prerequisites

Participants should have:

• Basic knowledge of Python programming .
• Familiarity with spreadsheet software (e.g., Microsoft Excel).
• Not Required: Understanding of basic statistics and data analysis concepts.

Course Modules

Module 1: Introduction to Data Wrangling

• Overview of data wrangling and its significance
• The data wrangling pipeline
• Case studies of data wrangling in various industries

Module 2: Data Collection

• Accessing data from databases (SQL)
• Web scraping techniques and tools
• Extracting data from APIs

Module 3: Data Cleaning

• Data Preprocessing
• Identifying and handling missing data
• Dealing with duplicates and inconsistencies
• Data type conversions and parsing dates
• Dealing With outliers
• Visual Inspection and Dealing with Wrong Entries
• Dealing With Categorical Variables
• Special Topics For Data Processing (SQL, Stats,and More)

Module 4: Data Transformation & Feature Selection

• Reshaping data: pivoting and unpivoting
• Merging and joining datasets
• Data aggregation and summarization
• Data Transformation using SciKit Learn Library for;

• • Rescaling
  • Standardization
  • Normalization
• Feature Selection & Engineering

Module 5: Advanced Data Wrangling Techniques

• Handling large datasets with efficient techniques
• Data wrangling with Python libraries: Pandas, NumPy
• Using advanced libraries for data processing and cleaning

Module 6: Practical Applications and Projects

• Real-world data wrangling case studies
• Hands-on projects and assignments
• Preparing data for visualization and machine learning

Tools and Technologies

• Python: Pandas, NumPy, BeautifulSoup, Requests and more
• JupyterLab
• SQL: Basic to advanced SQL queries
• Excel: Advanced functions and data manipulation techniques

Evaluation and Certification

Participants will be assessed through:

• Quizzes and assignments for each module
• A capstone project demonstrating data wrangling skills
• Final exam

Upon successful completion, participants will receive a "Data Wrangling Professional" certificate, recognizing their proficiency in data wrangling techniques and tools.

Course Duration

The program is designed to be completed over 10 weeks, with a combination of online lectures, hands-on exercises, and project work.

Enrollment

If the 'Apply for Course' button is active, you may apply for enrollment to this course now. For enrollment details and course schedules, please visit our website or contact our admissions office.

Contact Information

• Email: admissions@onecampusacademy.com
• Phone: +1 (330) 815 7974
• Website: learn.onecampusacademy.com