About this Track
Data science unifies statistics, data analysis, machine learning and their related methods in order to understand and analyze actual phenomena with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.In this track, we'll be exploring the tools and techniques to get you started on your journey.You'll pick up the basic building blocks of how to analyze and communicate data findings.
An entry-level salary for the technologies covered in this track is about $95,000 / yr on average. Some companies that use these technologies regularly include: Google, Microsoft, Apple, Airbnb
| From | Treehouse |
|---|---|
| Hours | 32 |
| Instructors | Ben Deitch, Kenneth Love, Craig Dennis, Ken W. Alger, Alyssa Batula, Jared Smith, Nick Pettit, Ashley Boucher |
| Language | English |
| Subjects | Data Science Programming |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Courses in this Track
Listed in the order in which they should be taken
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Learn how to make better decisions with data in this course on data analysis. We'll start by looking at what data analysis is, and then we'll see how we can use data analysis to... Treehouse |
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Learn the building blocks of the wonderful general purpose programming language Python.What you'll learnFundamental programming concepts Input and Output Conditional branching... Treehouse |
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Lists are a powerful data type that allow you to store multiple ordered values in a single container. You are gonna love them.What you'll learnCommon use cases of lists Manipulate... Treehouse |
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We can get pretty far in Python with numbers, strings, lists, booleans, and basic logic. Eventually, though, we're going to need more complex containers for our data. We're also... Treehouse |
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Learn about a python data structures that's similar to lists, but with one key difference. What you'll learnTuplesSegments in this Workshop Treehouse |
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Sometimes simple scripts with functions in them just aren't enough. Eventually you'll need logical models of your work and that'll lead you to creating custom classes in Python.... Treehouse |
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Functions, Packing, and Unpacking Learn the ins and outs of Python functions, how to send and receive values to functions, and all about Python packing and unpacking.What you'll learnFunction definition Arguments... Treehouse |
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Discover several types of Python sequences, many ways of sequence iterations, and all of the common sequence operations.What you'll learnFor loops Slicing Ranges Sequence... Treehouse |
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Another useful Python data structure is the dictionary. Learn how to write one and use one in your day to day Python code.What you'll learn**kwargs Writing dictionaries Key:value... Treehouse |
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Learn why you want to use Anaconda, and then learn howSegments in this WorkshopWhat is Anaconda and why use it? Installing Anaconda Using conda to Install Packages miniconda Treehouse |
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The Jupyter project has an amazing tool for Python, Julia, R, and other languages. Learn how to install Jupyter Notebooks, use them, and install kernels for other... Treehouse |
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Introduction to Data Visualization with Matplotlib Get started creating charts with the Python library, matplotlib, an industry standard data visualization library. Matplotlib provides a way to easily generate a wide variety of... Treehouse |
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NumPy is short for Numerical Python. It is the fundamental package for scientific computing. You will see it at play in just about everywhere Python needs to deal with data. This... Treehouse |
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Pandas provides fast, flexible, and expressive data structures that have been designed to make working with relational or “labeled” data not only easy, but also intuitive. It’s... Treehouse |
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On Demand |
We rely on data to answer important questions, whether we are trying to make the best business decisions or determine the effectiveness of a new medical treatment. But our... Treehouse |
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On Demand |
Scraping Data From the Web (You were viewing this course) Almost any information you want is available on the Internet. Web scraping is a key tool for data mining that information allowing for web page exploration and collection for a... Treehouse |
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Big data represents an entire ecosystem of data sets, tools, and applications. This course is intended to get you familiar with the concepts, problem spaces, and overall ecosystem... Treehouse |
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On Demand |
Machine learning encompasses many different ideas, programming languages, frameworks, and approaches to the subject, so the term "machine learning" is difficult to define in just... Treehouse |
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| From | Treehouse |
|---|---|
| Hours | 32 |
| Instructors | Ben Deitch, Kenneth Love, Craig Dennis, Ken W. Alger, Alyssa Batula, Jared Smith, Nick Pettit, Ashley Boucher |
| Language | English |
| Subjects | Data Science Programming |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Similar Courses
Sorted by relevance
