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Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Advanced NumPy and Pandas
Tune NumPy and Pandas pipelines for messy production data with advanced techniques. Advanced NumPy covers slicing patterns from basic and multi-dimensional through boolean masking and fancy indexing,...
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$1,330USD
Duration
2 days
Course Code
DS-2101
Available Formats
Classroom
Overview
Course Description
Tune NumPy and Pandas pipelines for messy production data with advanced techniques. Advanced NumPy covers slicing patterns from basic and multi-dimensional through boolean masking and fancy indexing, reshaping and broadcasting through element-wise operations and Einstein summation notation, and statistical analysis with descriptive statistics, percentiles, correlation, outlier detection, and distribution simulation. Advanced Pandas covers DataFrame techniques through GroupBy, multi-indexing, pivot tables, and transformations, efficient I/O with memory optimization, and complex indices including hierarchical MultiIndex, custom, and time-based indexing. Hands-on labs produce a vectorization performance benchmark, a statistical report on real data, a pivot-table-driven analysis, and time-indexed Pandas operations on production-style datasets. The course is designed for data scientists, analysts, and developers with DS-1101 experience handling real-world messy data.
Skills Gained
By the end of this course, participants will be able to:
- Compose advanced operations to achieve complex data outcomes
- Optimize data I/O to improve processing efficiency
- Apply advanced statistical analysis through NumPy
- Enhance datasets with complex relationships and dependencies
- Apply Pandas to time-series data analysis
Who Can Benefit
This course is designed for:
- Data Scientists & Analysts
- Software Developers
Prerequisites
Participants should enter this course with:
- Practical Python Experience
- DS-1101 or equivalent experience
Organizational Objectives
This course assists organizations to:
- Reduce data-pipeline cost through NumPy and Pandas optimization
- Improve analytical accuracy through advanced statistical patterns
- Build a working advanced-NumPy/Pandas discipline across the team
- Establish reusable advanced data-handling patterns that compound across projects
Software
All attendees must have a modern web browser and an Internet connection.
Course Details
Course Details
Module 1 - Advanced NumPy Array Slicing
By the end of this module, you will be able to apply basic and multi-dimensional slicing, use negative indexing, apply boolean masking and fancy indexing, and slice along multiple axes.
- Basic Slicing (Start:Stop:Step)
- Multi-Dimensional Slicing
- Negative Indexing in Slicing
- Boolean Masking (Conditional Slicing)
- Fancy Indexing (Selecting Specific Elements)
- Slicing Along Multiple Axes
- Hands-on Lab: Practice basic and multi-dimensional slicing alongside negative and fancy indexing on real data.
Module 2 - Reshaping and Broadcasting NumPy Arrays
By the end of this module, you will be able to apply element-wise operations, perform aggregations, apply broadcasting rules, compare vectorized operations against Python loops, and use Einstein summation notation for optimized tensor computations.
- Element-wise Operations
- Aggregations
- Broadcasting Rules
- Vectorized Operations vs. Python Loops
- Einstein Summation Notation for Optimized Tensor Computations
- Hands-on Lab: Compare Python loop performance against NumPy vectorized operations and apply broadcasting to arithmetic.
Module 3 - Statistical Analysis in NumPy
By the end of this module, you will be able to compute basic descriptive statistics, percentiles, quartiles, correlation, and covariance with NumPy, detect outliers using Z-score, and simulate normal distributions.
- Basic Descriptive Statistics
- Percentiles & Quartiles
- Correlation & Covariance
- Detecting Outliers Using Z-Score
- Simulating Normal Distributions
- Hands-on Lab: Compute descriptive statistics and percentiles, then build a statistical-report generator over a real dataset.
Module 4 - Advanced Pandas DataFrame Usage
By the end of this module, you will be able to handle data efficiently, run GroupBy operations, work with multi-indexes, build pivot tables and cross-tabulations, and apply DataFrame transformations.
- Efficient Data Handling
- GroupBy Operations
- Multi-indexing
- Pivot Tables and Cross-Tabulations
- DataFrame Transformations
- Hands-on Lab: Subset a dataset, handle missing data, and create pivot tables and cross-tabulations.
Module 5 - Efficient I/O and Data Manipulation with Pandas
By the end of this module, you will be able to read and write data efficiently, optimize memory usage during I/O, apply advanced data manipulation, and tune Pandas performance.
- Efficient Reading and Writing with Pandas
- Optimizing Memory Usage During Data I/O
- Advanced Data Manipulation
- Performance Optimization in Pandas
- Hands-on Lab: Read different forms of data files with filters and reshape data using pivot and melt.
Module 6 - Using Complex Pandas Indices
By the end of this module, you will be able to apply complex and custom indices, hierarchical MultiIndex, time-based indexing, and indexing/slicing operations on MultiIndex DataFrames.
- Introduction to Complex Indices
- MultiIndex - Hierarchical Indexing
- Custom Indices
- Time-Based Indexing
- Indexing and Slicing with MultiIndex
- Hands-on Lab: Use complex and custom indices and apply time-based indexing operations 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
Easy to work with. Learning material pdfs were able to be printed out in color which was very nice to write on.
Great oppportunity for me to get training on the software during my work day.
I registered a day before class and am happy that I received all the materials and links in time for the class. Thanks.
Although there seemed to be too many links for the course, everything worked smoothly.
Overall it was a good bootcamp. A lot to cover so it is understandable that the pace had to be a little fast.
