Compare Data Science Classes

Which Data Science course is right for you? This tool allows you to compare our Data Science courses with the important information you need to make the right decision.

Key Information
Python for Data Science Bootcamp
Python Machine Learning Bootcamp
SQL Bootcamp
$1,495 30 Hours
$1,895 30 Hours
$975 18 Hours
Overview
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Prerequisite
Open to Beginners
This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp before taking this course.
Open to Beginners
Location
185 Madison Ave, NYC or Live Online
185 Madison Ave, NYC or Live Online
185 Madison Ave, NYC or Live Online
Schedule
Next start date: April 17–May 29, Wednesdays & Mondays, 6–9pm, except Apr 22, Apr 29, May 27
Other scheduling options Evenings, weekdays, or saturdays
View full schedule
Next start date: June 10–July 17, Mondays & Wednesdays, 6–9pm, except Jun 19, Jul 3
Other scheduling options Evenings, saturdays, or weekdays
View full schedule
Next start date: April 30–May 2, Tuesday to Thursday, 10–5pm
Other scheduling options Weekdays, evenings, or saturdays
View full schedule
Certification
Receive a Certificate of Completion
Receive a Certificate of Completion
Receive a Certificate of Completion
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Payment Plan See our payment plan FAQ for more details
Financing See our Leif FAQ for more details
Target Audience
  • Individuals looking to break into the field of data science with Python
  • People with minimal coding background who want to move into more data-centric work at their current workplace
  • People who work with data in tools like SPSS, STATA, or MATLAB and would like to transition into using Python and SQL.
  • Developers with experience in other arenas, who would like to work in data science
  • Confident python developers who would like to explore machine learning hands-on
  • Developers with strong skills in another language, and some background working with data looking to building machine learning models
  • Leaders interested in making better data-driven decisions and “knowing the numbers”
  • Analysts looking to deepen their skillset beyond Excel and Tableau
  • Developers who want to be more comfortable working with databases
What You’ll Learn
  • Foundational programming concepts including loops, functions, and objects
  • Handle different types of data, such as integers, floats, and strings
  • Control the flow of your programs with conditional statements
  • Reuse and simplify code with object-oriented programming
  • Analyze tabular data with Numpy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression, using scikit-learn
  • How to clean and balance your data using the Pandas library
  • Applying machine learning algorithms such as logistic regression and random forest using the scikit-learn library
  • Choosing good features to use as input for your algorithms
  • Properly splitting data into training, test and cross-validation sets
  • Important theoretical concepts like overfitting, variance and bias
  • Evaluating the performance of your machine learning models
  • Explore information stored in a database (tables, columns, rows, etc.) using the graphical interface of DBeaver (a popular free database app)
  • Write SQL queries to retrieve data from tables in a database
  • Combine information from multiple tables with JOIN statements
  • Filter data, group it, and sort it to extract the specific info you need
  • Advanced techniques like Subqueries, String Functions, and IF‑Else logic with CASE
  • How to use Views and Functions with parameters instead of directly querying tables

Enroll in an Upcoming Data Science Course

November 2023
November 27–December 1
Monday to Friday 10–5pm EST
$1,495
30 Hours

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

November 27–January 3
Mondays & Wednesdays 6–9pm EST
$1,895
30 Hours

Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.

December 2023
December 6–8
Wednesday to Friday 10–5pm EST
$975
18 Hours

Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.

December 13–20
Wednesday to Tuesday 10–5pm EST
$1,895
30 Hours

Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.

December 14–January 9
Thursdays & Tuesdays 6–9pm EST
$975
18 Hours

Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.

January 2024
January 3–9
Wednesday to Tuesday 10–5pm EST
$1,495
30 Hours

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

January 16–18
Tuesday to Thursday 10–5pm EST
$975
18 Hours

Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.

January 16–February 15
Tuesdays & Thursdays 6–9pm EST
$1,495
30 Hours

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

January 20–February 24
Saturdays 10–5pm EST
$1,895
30 Hours

Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.

January 22–26
Monday to Friday 10–5pm EST
$1,495
30 Hours

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

showing 10 of 22 courses

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