Data Classes Calgary

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.

This online data science program is meant to get students ready for a career in data science. The program covers the key components for data science, including SQL, Python, statistics, and machine learning. Students will start coding in Python using Jupyter notebooks, learn the statistics behind machine learning, apply machine learning techniques, and work on data science projects in this data science course. Students will also receive career coaching and job support during the program for help finding a job in data science. The online program offers flexible scheduling options, including full-time over 5 months, part-time over 10 months, and self-paced for up to 15 months.

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

Data Science Flex is a 6-month part-time program that will prepare you to to be a data scientist. This program comes with a tuition back guarantee if you can't land a job within 6 months after your graduation. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.

If you want to become a data scientist, you should enroll in this intensive twelve-week bootcamp. Participants learn how to extract data from multiple sources to empower decision-makers. Specific course topics include Python, GitHub, and other data foundations, matplotlib, Seaborn, and other data visualization tools, Flask, Docker, and other data engineering platforms, data wrangling with JSON, SQL, and XML, machine learning models, and deep learning techniques.

Explore the world of data analytics in this intensive six-week bootcamp. The ability to extract and apply data makes you a valuable team member. Specific course topics include addressing data concerns, determining data collection methods, ensuring data quality, gaining insights from existing data, maximizing tools like Tableau and Excel, and publishing results.

This 1-day Excel course was designed to teach beginners the basics of working with spreadsheets. The course covers a range of beginner Excel concepts and tools, including an introduction to the Excel environment, formatting a spreadsheet and the data it contains, basic functions and formulas, and how to save and print Excel documents.

This 2-day Excel course was designed to teach beginners more than just basics of working with spreadsheets. The course covers a range of beginner and intermediate Excel concepts and tools, including how to customize Excel, functions and formulas, sorting and filtering, how to protect files and spreadsheets, creating charts, working with external data sources, validating data, conditional formatting, and more.

This 2-day advanced Excel course was designed to teach regular spreadsheet users some of the more advanced functions available within Excel. The course covers a range of advanced Excel concepts, including what if analysis, how to consolidate data, advanced functions, a variety of advanced Excel tricks, an introduction to macros, and best practices for working with pivot tables.

This 2-day advanced Excel course was designed to teach regular spreadsheet users some of the more advanced formulas and functions available in Excel. The course covers a range of advanced Excel formulas and functions, including a review of formula basics, using logical, reference, and statistical functions, as well as various math, finance, and error checking functions.

This 1-day Excel course was designed to teach spreadsheet users how to work with one of the most helpful and powerful tools in Excel, the PivotTable. The course covers a range of PivotTable concepts, including how to create a pivot table, arranging fields, using filters, handling blank cells, sorting, creating custom formats, adding formulas to a pivot table, replication, counting, using pivot charts, and more.