Python for Data Analytics
Use Python to obtain, clean and prepare data, then describe, visualize and model it to answer real business questions.
$2,000.00
Use Python to obtain, clean and prepare data, then describe, visualize and model it to answer real business questions.
$2,000.00
Use Python to obtain, clean and prepare data, then describe, visualize and model it to answer real business questions.
This course teaches the analysis side of data work in Python. You will get data in from files, spreadsheets, databases and web APIs, clean and prepare it, describe it with statistics and show it in clear charts. You finish with simple predictive and classification models, so you can turn a business question into an answer backed by data.
This course is for analysts, finance and operations staff, and reporting teams who already know some Python and want to replace manual spreadsheet analysis.
Basic Python: variables, lists, dictionaries, loops and functions (an introductory Python course or equivalent)
Comfort with spreadsheets and basic statistics such as averages and percentages
Works on Windows, macOS or Linux
Anaconda with Jupyter, pandas, Matplotlib and scikit-learn (free)
Anaconda and Jupyter, Notebook habits for analysis, The pandas DataFrame.
CSV, Excel and JSON files, Reading from a SQL database, Pulling data from a web API.
Missing values, Data types and formatting, Duplicates and outliers, Normalization and binning, Merging and reshaping tables.
Descriptive statistics, groupby and pivot tables, Correlation, Telling a real difference from noise.
Choosing the right chart, Charts with pandas and Matplotlib, Labeling for a business reader.
Train and test splits, Linear regression for prediction, A basic classifier, Accuracy and error metrics with scikit-learn.
Framing a business question, End-to-end analysis, Notebook report.
One-on-one or small-group coaching, scheduled with your coach.
On-demand asynchronous training with online support, plus 2 hours of coaching.
Live online or in-person sessions are available for an additional fee. Email admissions@wecancodeit.org for details.
Python for Data Analytics
Reimbursement applies only to the credential approved in your TechCred application, so use the exact credential name shown on this page.
Ohio's TechCred program may reimburse eligible Ohio employers up to $1,000 per person, per credential, and up to $30,000 per application, for eligible costs such as tuition and certification costs.
TechCred's maximum is $1,000 per person, per credential, toward this price.
The current application period opens at 9:00 a.m. on October 1, 2026 and closes at 3:00 p.m. on October 30, 2026.
Training must start no earlier than the first day of the application period and be completed within 12 months of the award date.
For each learner, We Can Code IT provides an itemized per-person invoice that shows the exact credential name, and a certificate that shows the learner's name, the credential and the date earned (or the vendor's exam record for certifications). We can also send a written quote to include with your TechCred application.
Pricing is the same for all customers, whether or not you use TechCred.
We Can Code IT is an independent training provider. Being listed as an eligible TechCred provider is not an endorsement by the State of Ohio and does not guarantee funding. The Ohio Department of Development makes all TechCred decisions, so check the state's current program guidelines before you apply. Program details: the State of Ohio’s TechCred page.
Choose the number of seats, add the course to your cart and check out.
Send the form below for group enrollment or a written quote to include with your TechCred application. We reply within one business day. You can also email admissions@wecancodeit.org.
We Can Code IT, LLC, 26300 Cedar Rd, Suite 1105, Beachwood, OH 44122. Registered with the Ohio State Board of Career Colleges and Schools, Registration No. 15-03-2064T.
