Wed February 20, 2019
Data Science Fundamentals: Intro to Python (San Francisco - 2.20 - 3.27)
SEE EVENT DETAILS
Interested in learning more data science? In this six-week part-time course, you’ll learn how to program for the field in Python and be better prepared to learn data science like a professional.
This workshop is for analysts, product managers, statisticians, business managers, and anyone else with little to no exposure to Python. It is taught by Galvanize's data science instructors and supported by the broader community.
What You’ll Learn / Takeaway:Whether you’ve programmed in other languages or Python is your first, this class will teach you the nuances of Python and how to use them to your advantage in your data science projects. Here’s what you’ll learn:
Environment Setup
Data Scientist Workflow
Ins and Outs of Coding Pythonically
Object Oriented Programming
Popular Data Science Libraries including Matplotlib, Pandas, Numpy, Sklearn
Who Should Take this Class?For those of you interested in learning to program in Python, so you may be better prepared for self-study in data science, this course will help you get up to speed.
Those of you who are interested in gaining the skills required for admittance to the San Francisco Data Science Immersive. This course is designed to help you meet that bar.
Prerequisites:A desire to learn.
Note: Previous programming experience can be helpful but not necessary.
Setup (please have this in advance):?• Bring your laptop and power cable - strong preference for macs or linux.**
• Install Anaconda with Python version 3.7 on your machine: http://docs.continuum.io/anaconda/install.html• Install a text editor: https://code.visualstudio.com/• If you have trouble with installation, we will assist on the first day.
**Instructors may not have the expertise to assist with troubleshooting on windows machines and machines that do not use the above-mentioned computer specs.
Weekly Agenda
Mondays & Wednesdays, 6:30 pm – 8:30 pm
Week 1: February 20th
Week 2: February 25th and February 27th
Week 3: March 4th and March 6th
Week 4: March 11th and March 13th
Week 5: March 18th and March 20th
Week 6: March 25th and March 27th
Full Course Outline:
Week 1:
First class: Introduction to Git, GitHub, Unix, downloading software (Anaconda, Git, Atom)
Second class: Variable Assignment, Variable Declaration, Loops, Control Flow, Logic
Week 2:
First Class: Introduction to Python Data structures, Python Libraries, Lists, Strings
Second class: Tuples, Dictionaries, and Sets
Week 3:
First class: Functions and ScopeSecond Class: Lab 1: Linking it all together
Week 4:
First class: Object Oriented Programming (OOP)
Second Class: More OOP
Week 5:
First Class: Lab 2 – OOP
Second class: Introduction to Pandas, DataFrames
Week 6:
First class: Lab 2 – OOP
Second class: Tieing it all together
Cost of the entire course: $1890.00 + Eventbrite registration fees.
Questions?
For questions about this part-time course and our Data Science Immersive program, please email our Evangelist at [email protected].
Refund Policy
-Cancel more than 24 hours before first class: Full Refund (minus processing fee).
show less
This workshop is for analysts, product managers, statisticians, business managers, and anyone else with little to no exposure to Python. It is taught by Galvanize's data science instructors and supported by the broader community.
What You’ll Learn / Takeaway:Whether you’ve programmed in other languages or Python is your first, this class will teach you the nuances of Python and how to use them to your advantage in your data science projects. Here’s what you’ll learn:
Environment Setup
Data Scientist Workflow
Ins and Outs of Coding Pythonically
Object Oriented Programming
Popular Data Science Libraries including Matplotlib, Pandas, Numpy, Sklearn
Who Should Take this Class?For those of you interested in learning to program in Python, so you may be better prepared for self-study in data science, this course will help you get up to speed.
Those of you who are interested in gaining the skills required for admittance to the San Francisco Data Science Immersive. This course is designed to help you meet that bar.
Prerequisites:A desire to learn.
Note: Previous programming experience can be helpful but not necessary.
Setup (please have this in advance):?• Bring your laptop and power cable - strong preference for macs or linux.**
• Install Anaconda with Python version 3.7 on your machine: http://docs.continuum.io/anaconda/install.html• Install a text editor: https://code.visualstudio.com/• If you have trouble with installation, we will assist on the first day.
**Instructors may not have the expertise to assist with troubleshooting on windows machines and machines that do not use the above-mentioned computer specs.
Weekly Agenda
Mondays & Wednesdays, 6:30 pm – 8:30 pm
Week 1: February 20th
Week 2: February 25th and February 27th
Week 3: March 4th and March 6th
Week 4: March 11th and March 13th
Week 5: March 18th and March 20th
Week 6: March 25th and March 27th
Full Course Outline:
Week 1:
First class: Introduction to Git, GitHub, Unix, downloading software (Anaconda, Git, Atom)
Second class: Variable Assignment, Variable Declaration, Loops, Control Flow, Logic
Week 2:
First Class: Introduction to Python Data structures, Python Libraries, Lists, Strings
Second class: Tuples, Dictionaries, and Sets
Week 3:
First class: Functions and ScopeSecond Class: Lab 1: Linking it all together
Week 4:
First class: Object Oriented Programming (OOP)
Second Class: More OOP
Week 5:
First Class: Lab 2 – OOP
Second class: Introduction to Pandas, DataFrames
Week 6:
First class: Lab 2 – OOP
Second class: Tieing it all together
Cost of the entire course: $1890.00 + Eventbrite registration fees.
Questions?
For questions about this part-time course and our Data Science Immersive program, please email our Evangelist at [email protected].
Refund Policy
-Cancel more than 24 hours before first class: Full Refund (minus processing fee).
Interested in learning more data science? In this six-week part-time course, you’ll learn how to program for the field in Python and be better prepared to learn data science like a professional.
This workshop is for analysts, product managers, statisticians, business managers, and anyone else with little to no exposure to Python. It is taught by Galvanize's data science instructors and supported by the broader community.
What You’ll Learn / Takeaway:Whether you’ve programmed in other languages or Python is your first, this class will teach you the nuances of Python and how to use them to your advantage in your data science projects. Here’s what you’ll learn:
Environment Setup
Data Scientist Workflow
Ins and Outs of Coding Pythonically
Object Oriented Programming
Popular Data Science Libraries including Matplotlib, Pandas, Numpy, Sklearn
Who Should Take this Class?For those of you interested in learning to program in Python, so you may be better prepared for self-study in data science, this course will help you get up to speed.
Those of you who are interested in gaining the skills required for admittance to the San Francisco Data Science Immersive. This course is designed to help you meet that bar.
Prerequisites:A desire to learn.
Note: Previous programming experience can be helpful but not necessary.
Setup (please have this in advance):?• Bring your laptop and power cable - strong preference for macs or linux.**
• Install Anaconda with Python version 3.7 on your machine: http://docs.continuum.io/anaconda/install.html• Install a text editor: https://code.visualstudio.com/• If you have trouble with installation, we will assist on the first day.
**Instructors may not have the expertise to assist with troubleshooting on windows machines and machines that do not use the above-mentioned computer specs.
Weekly Agenda
Mondays & Wednesdays, 6:30 pm – 8:30 pm
Week 1: February 20th
Week 2: February 25th and February 27th
Week 3: March 4th and March 6th
Week 4: March 11th and March 13th
Week 5: March 18th and March 20th
Week 6: March 25th and March 27th
Full Course Outline:
Week 1:
First class: Introduction to Git, GitHub, Unix, downloading software (Anaconda, Git, Atom)
Second class: Variable Assignment, Variable Declaration, Loops, Control Flow, Logic
Week 2:
First Class: Introduction to Python Data structures, Python Libraries, Lists, Strings
Second class: Tuples, Dictionaries, and Sets
Week 3:
First class: Functions and ScopeSecond Class: Lab 1: Linking it all together
Week 4:
First class: Object Oriented Programming (OOP)
Second Class: More OOP
Week 5:
First Class: Lab 2 – OOP
Second class: Introduction to Pandas, DataFrames
Week 6:
First class: Lab 2 – OOP
Second class: Tieing it all together
Cost of the entire course: $1890.00 + Eventbrite registration fees.
Questions?
For questions about this part-time course and our Data Science Immersive program, please email our Evangelist at [email protected].
Refund Policy
-Cancel more than 24 hours before first class: Full Refund (minus processing fee).
read more
This workshop is for analysts, product managers, statisticians, business managers, and anyone else with little to no exposure to Python. It is taught by Galvanize's data science instructors and supported by the broader community.
What You’ll Learn / Takeaway:Whether you’ve programmed in other languages or Python is your first, this class will teach you the nuances of Python and how to use them to your advantage in your data science projects. Here’s what you’ll learn:
Environment Setup
Data Scientist Workflow
Ins and Outs of Coding Pythonically
Object Oriented Programming
Popular Data Science Libraries including Matplotlib, Pandas, Numpy, Sklearn
Who Should Take this Class?For those of you interested in learning to program in Python, so you may be better prepared for self-study in data science, this course will help you get up to speed.
Those of you who are interested in gaining the skills required for admittance to the San Francisco Data Science Immersive. This course is designed to help you meet that bar.
Prerequisites:A desire to learn.
Note: Previous programming experience can be helpful but not necessary.
Setup (please have this in advance):?• Bring your laptop and power cable - strong preference for macs or linux.**
• Install Anaconda with Python version 3.7 on your machine: http://docs.continuum.io/anaconda/install.html• Install a text editor: https://code.visualstudio.com/• If you have trouble with installation, we will assist on the first day.
**Instructors may not have the expertise to assist with troubleshooting on windows machines and machines that do not use the above-mentioned computer specs.
Weekly Agenda
Mondays & Wednesdays, 6:30 pm – 8:30 pm
Week 1: February 20th
Week 2: February 25th and February 27th
Week 3: March 4th and March 6th
Week 4: March 11th and March 13th
Week 5: March 18th and March 20th
Week 6: March 25th and March 27th
Full Course Outline:
Week 1:
First class: Introduction to Git, GitHub, Unix, downloading software (Anaconda, Git, Atom)
Second class: Variable Assignment, Variable Declaration, Loops, Control Flow, Logic
Week 2:
First Class: Introduction to Python Data structures, Python Libraries, Lists, Strings
Second class: Tuples, Dictionaries, and Sets
Week 3:
First class: Functions and ScopeSecond Class: Lab 1: Linking it all together
Week 4:
First class: Object Oriented Programming (OOP)
Second Class: More OOP
Week 5:
First Class: Lab 2 – OOP
Second class: Introduction to Pandas, DataFrames
Week 6:
First class: Lab 2 – OOP
Second class: Tieing it all together
Cost of the entire course: $1890.00 + Eventbrite registration fees.
Questions?
For questions about this part-time course and our Data Science Immersive program, please email our Evangelist at [email protected].
Refund Policy
-Cancel more than 24 hours before first class: Full Refund (minus processing fee).
show less
Date/Times:
44 Tehama Street, San Francisco, CA 94105
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