Information Sessions
At Kal Academy our next bootcamp cohort is starting in May 2020. Come hear us talk about the goals of these classes and get your questions answered!
March 28th 2pm - 3pm
Bootcamps
Individual Courses
This is a crash course that runs for 4 weekends, 2.5 hrs each. When you apply for a job in data science, employers want to know if you can analyze and visualize data with Excel or Power BI and whether you can use R or Python to explore the data. They also want to know that you understand key topics, like statistics and machine learning. This course gives you the real-world tools and hands-on experience needed to become an in-demand, creative data scientist.
April 05 2020 - April 26 2020
Sunday (2pm - 4:30pm)
This is a crash course that runs for 4 weekends, 2.5 hrs each. This course is intended for anyone who has not engaged seriously in programming and would like to begin doing it. This class starts from scratch and introduces you step by step into the fundamentals of programming. It won’t teach you absolutely everything you
April 04 2020 - April 25 2020
Saturday (2pm - 4:30pm)
In this course we will look at the core data structures and algorithms used in everyday applications. We will discuss the trade-offs involved with choosing each data structure, along with traversal, and retrieval algorithms. This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.
March 07 2020 - May 30 2020
Saturday (4:15pm - 5:15pm)
This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics.
February 02 2020 - April 26 2020
Sunday (4:30pm - 5:30pm)
This course is intended for anyone who has not engaged seriously in programming and would like to begin doing it. This class starts from scratch and introduces you step by step into the fundamentals of programming. It won’t teach you absolutely everything you
January 10 2020 - March 27 2020
Friday (12pm - 1pm)
This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics.
January 07 2020 - March 24 2020
Tuesday (11am - 12pm)
This course is intended to expand your programming skills and apply them to React Js application development. We will build an app together in class while learning these topics.
January 05 2020 - March 22 2020
Sunday (3:15pm - 4:15pm)
This course is intended for anyone who has not engaged seriously in programming and would like to begin doing it. This class starts from scratch and introduces you step by step into the fundamentals of programming. It won’t teach you absolutely everything you
January 05 2020 - March 22 2020
Sunday (2pm - 3pm)
In this course we will look at the core data structures and algorithms used in everyday applications. We will discuss the trade-offs involved with choosing each data structure, along with traversal, and retrieval algorithms. This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.
January 04 2020 - March 21 2020
Saturday (1:45pm - 2:45pm)
When you apply for a job in data science, employers want to know if you can analyze and visualize data with Excel or Power BI and whether you can use R or Python to explore the data. They also want to know that you understand key topics, like statistics and machine learning. This course gives you the real-world tools and hands-on experience needed to become an in-demand, creative data scientist.
January 04 2020 - March 21 2020
Saturday (3pm - 4pm)