Course

Intro to Data Analysis

Start your data science journey right with this hands-on introduction to the discipline of data analysis. In this course you'll learn the 5 key stages of the data analysis process and apply them to real data sets using Python libraries NumPy, pandas, and Matplotlib.
Enroll Now
  • DAYS
  • HRS
  • MIN
  • SEC
  • Estimated Time
    20 hours

  • Enroll by
    September 22, 2021

    Get access to classroom immediately on enrollment

  • Prerequisites
    Python
In collaboration with
  • Kaggle

What You Will Learn

Syllabus

Intro to Data Analysis

Data analysis is a rigorous discipline that can reveal illuminating insights, but a strong grasp of the fundamentals is essential to generating accurate, useful results. This hands-on course will teach you the industry-standard framework for analyzing data of any kind, and show you how to apply it using some of the most popular tools in data science.

This hands-on course will teach you the industry-standard framework for analyzing data of any kind, and show you how to apply it using some of the most popular tools in data science.

Prerequisite Knowledge

Python.

  • Anaconda

    Learn to use Anaconda to manage packages and environments for use with Python.

  • Jupyter Notebooks

    Learn to use this open-source web application to combine explanatory text, math equations, code and visualizations in one sharable document.

  • Data Analysis Process

    Learn about the keys steps of the data analysis process and investigate multiple datasets using Python and Pandas.

  • Pandas and NumPy: Case Study

    Perform the entire data analysis process on a dataset and learn to use NumPy and Pandas to wrangle, explore, analyze and visualize data.

  • Programming Workflow for Data Analysis

    Learn about how to carry out analysis outside Jupyter notebook using IPython or the command line interface.

  • Course Project: Investigate a Dataset

    In this project, you’ll choose one of Udacity’s curated datasets and investigate it using NumPy and pandas. You’ll complete the entire data analysis process, starting by posing a question and finishing by sharing your findings.

Icon - Dark upwards trend arrow
59%

of companies plan to increase positions requiring data analysis skills.

woman-leading-group-meeting

Introducing new Udacity Single Courses

Our students asked and we listened. You can now get the in-demand tech skills you need faster and for less money by enrolling in one of our new, one-month Single Courses. You’ll get the specific job-ready skills you need in as little as four weeks and for a fraction of the cost.

Of course if you are looking for a more robust, in-depth education, you can still enroll in one of our 3-6 month Nanodegree programs.

Both programs are part-time and online, and they both offer 24/7 support, quality Udacity-produced content, courses created with the help of top tech companies, and more. You can always start with a Single Course and upgrade to a full Nanodegree program if you like.

All Our Courses Include

Real-world projects from industry experts

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
Technical mentor support

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
Workspaces

Workspaces to see your code in action

Validate your understanding of concepts learned by checking the output and quality of your code in real-time.
Flexible learning program

Flexible learning program

Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Course OfferingsFull list of offerings included:
Enrollment Includes:
Class Content
Real-world projects
icon-checkmarkCheckmark
Project reviews
icon-checkmarkCheckmark
Project feedback from experienced reviewers
icon-checkmarkCheckmark
Student Services
Technical mentor support
New
icon-checkmarkCheckmark
Student community
Improved
icon-checkmarkCheckmark
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Get timely feedback on your projects
Reviews By the numbers
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Reviewer Services
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
Mentors available to answer your questions
Mentors by the numbers
1,400+ technical mentors
0.85 hours median response time
Mentorship Services
  • Support for all your technical questions
  • Questions answered quickly by our team of technical mentors

Intro to Data Analysis

Get Started Today

  • Monthly Access

    Pay as you go


    per

    /

    /

    Enroll Now
    • Maximum flexibility to learn at your own pace.
    • Cancel anytime.
  • Learn

    The 5 stages of the data analysis process and work through them with Python libraries Pandas, NumPy, and Matplotlib.
  • Average Time

    On average, successful students take 20 hours to complete this program.
  • Benefits include

    • Real-world projects from industry experts
    • Technical mentor support

Program Details

  • Do I need to apply? What are the admission criteria?
    No. This Course accepts all applicants regardless of experience and specific background.
  • What are the prerequisites for enrollment?
    In order to succeed in this program, we recommend having experience working with data in Python, ideally with the NumPy and/or pandas libraries.
  • How is this course structured?
    The Intro to Data Analysis course is comprised of content and curriculum to support one project. We estimate that students can complete the program in 20 hours.

    The project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
  • How long is this course?
    Access to this course runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our programs.
  • Can I switch my start date? Can I get a refund?
    Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
  • What software and versions will I need in this course?
    You will need access to the Internet, and a 64 bit computer. Additional software such as Python and its common data analysis libraries (e.g., Numpy and Pandas) will be required, but the program will guide students on how to download once the course has begun.

Intro to Data Analysis

Enroll Now