When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Practical Data Collection & Exploratory Data Analysis
Apply data collection and exploratory analysis to move raw data to insight. Data collection techniques cover methods, tools, and ethical considerations for scraped and API-collected data. Preparation...
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$835USD
Duration
1 day
Course Code
DS-2201
Available Formats
Classroom
Overview
Course Description
Apply data collection and exploratory analysis to move raw data to insight. Data collection techniques cover methods, tools, and ethical considerations for scraped and API-collected data. Preparation covers the messy work between collection and modeling: missing values, duplicates, type conversion, standardization, normalization, outlier handling, feature engineering, categorical encoding, integration, and export. Effective EDA covers univariate to multivariate analysis, missing-value treatment, outlier detection, relationship discovery, and dimensionality reduction with PCA. Hands-on labs produce an ethically-scraped corpus, a cleaned and normalized real-world dataset, and a PCA-driven dimensionality reduction across financial data, scraped web pages, and API responses. The course is designed for data scientists, analysts, and software developers with Python and basic Pandas experience (DS-1201 or equivalent).
Skills Gained
By the end of this course, participants will be able to:
- Lead data collection using best practices for high-quality data
- Prepare complex data for analysis and modeling
- Apply EDA to drive actionable insights
- Establish a foundation for advanced analysis and modeling
Who Can Benefit
This course is designed for:
- Data Scientists & Analysts
- Software Developers
Prerequisites
Participants should enter this course with:
- Practical Python Experience
- DS-1201 or equivalent
Organizational Objectives
This course assists organizations to:
- Reduce time-to-insight by codifying data-collection and EDA patterns across teams
- Lower data-quality risk through systematic missing-value, duplicate, and outlier handling
- Establish ethical data-collection practices grounded in real scraping and API examples
- Build a working EDA discipline across analytics and engineering
Software
All attendees must have a modern web browser and an Internet connection.
Course Details
Course Details
Module 1 - Data Collection Techniques & Best Practices
By the end of this module, you will be able to apply data-collection methods, follow data-collection best practices, use appropriate data-collection tools, and weigh ethical considerations.
- Introduction to Data Collection
- Types of Data Collection Methods
- Best Practices for Data Collection
- Data Collection Tools
- Ethical Considerations
- Hands-on Lab: Web-scrape a dataset (with ethics in mind) and collect data from an API end-to-end.
Module 2 - Preparing Real-World Data for Use
By the end of this module, you will be able to load, clean, and transform real-world data — handling missing values and duplicates, converting types, normalizing, handling outliers, engineering features, encoding categorical data, and integrating and exporting datasets.
- Data collection and loading
- Handling missing data, duplicates, and data type conversion
- Standardization, normalization, and outlier handling
- Feature engineering and encoding categorical data
- Data integration and merging
- Data exporting and storage
- Hands-on Lab: Handle missing data, clean a dataset, and apply normalization and feature engineering.
Module 3 - Effective Exploratory Data Analysis
By the end of this module, you will be able to articulate the goals of EDA, move from univariate to multivariate analysis, treat missing values and outliers, detect relationships and trends, and apply dimensionality reduction.
- Goals of EDA
- Univariate to multivariate analysis
- Missing-value treatment and outlier handling
- Detecting relationships and trends
- Feature engineering and transformations
- Dimensionality reduction (PCA)
- Hands-on Lab: Run univariate-to-multivariate analysis and apply PCA-based dimensionality reduction to a real dataset.
Schedule
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
The training was very good to understand the concepts and how to set up things .
I liked the pace of the course. I like that I have more than instance to use the lab.
vary good online learning. instructor is vary good the way he explained every thing.
The platform is very intuitive and easy to navigate. Great tool for learning
Some Labs are very good but some steps it ask to update but its already updated, but overall its very good training.
