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Microcredential

Data Analyst

Kaggle via Udacity Nanodegree

Overview

Successful Data Analysts have a unique set of skills, and represent important value to organizations eager to make data-powered business decisions. In this program, you’ll learn to use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions. Demand for qualified Data Analysts continues to rise, and as a graduate of this program, you will be prepared to take on these roles.
Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

Syllabus

Prerequisite Knowledge

You should have experience working with Python (specifically Numpy and Pandas) and SQL.See detailed requirements.

  • Introduction to Data Analysis

    Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas.

    Explore Weather TrendsInvestigate a Dataset
  • Practical Statistics

    Learn how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.

    Analyze Experiment Results
  • Data Wrangling

    Learn the data wrangling process of gathering, assessing, and cleaning data. Learn to use Python to wrangle data programmatically and prepare it for analysis.

    Wrangle and Analyze Data
  • Data Visualization with Python

    Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.

    Communicate Data Findings

Taught by

Josh Bernhard , Sebastian Thrun, Derek Steer, Juno Lee , Mike Yi, David Venturi, Sam Nelson, Nicholas C., Bruno A., Sagarnil D., Daniel B., Charles T. and Felix S.

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Reviews

4.5 rating, based on 64 reviews

Start your review of Data Analyst

  • Data Analysis and R? Go for it! This was the first course I took since I started thinking about analytics and R. A fellow Data Scientist recommended it to me. I was bit surprised when I saw the level as Intermediate still decided to pursue. Duration...
  • Anonymous
    Data Analyst Nanodegree opens a different world of experience and analysis. Learning has no limitation, especially with ages. I did not know what to expect and thought it would be very hard for me to take the courses because I have no experiences in...
  • Anonymous
    Foreign Mentors, Unfair Project Submission Guidelines, Kept Charging Me After I Quit I'll keep this brief and exclude some of the positives of the program in order to prove my point. 1) Mentors come once a week, which isn't so bad. The first mentor I...
  • Great experience for a beginner
    The Data Analyst Nanodegree in Udacity is a very good preparation for my master program in Analytics at USF. I had little programming experience before doing the Nanodegree. It is easy to follow for beginners, and you can learn A LOT from it. However, it is not easy to go through every course and get the degree certificate. It took me about half a year, and I studied at least one hour almost every day (Maybe it is just my problemT_T). Anyway, as long as you stick with it, it worths your time.
    I am not sure this nanodegree will guarantee a good job, as I am still studying deeper in data analytics instead of looking for a job. But it is a good choice if you are a beginner.
  • Anonymous
    Data Analyst NanoDegree Program
    I've completed data analyst program and I was really satisfied about entire education. Even the most complex subjects are explained simple and understandable. Order of units were very well designed, examples of each subject were selected from up-to-date topics. EDA and Introduction to machine learning parts were my favorite units. Every project had given me more confident on each subject. As a last comment reviews were exremely detailed and helped me understanding the subjects nearly as well as learning from videos. Thanks to all Udacity team.
  • Anonymous
    Data analyst Nanodegree I have done the Nanodegree and lots of other Udacity courses. Pro : I think the degree is a well organised to the world of data science and data analytics. The cost is affordable if you take into account the project portfolio...
  • Neat video lectures with lots of hands-on experience I think one of the important aspects that Udacity shines at is their video lectures quality and the way they present content. The fact that there is no slides in the video lectures makes you always...
  • Bringing the Data Science market closer to you! :D This program provided me knowledge over a lot of very important subjects related to the field (Statistics, Data Wrangling, Exploratory Data Analysis, Machine Learning, Data Visualization, and others)...
  • It is actually MUCH better than I had hoped I was skeptical when I enrolled in UDACITY's Data Analysis Nano Degree Program but not only have they provided the experience they said they would they have steadily made improvements since I enrolled. How...
  • Anonymous
    Udacity Data Analyst Nanodegree Review If you are interested to know more about Data Analytics, then Udacity's Nanodegree programs are the best way to start off. It's just that their instructional design is great, it also makes sure to deep explore the...
  • Anonymous
    World class learning Udacity offers a truly unique mix in their teaching methods. There are some cases where a lecturer is talking at you, but they last between 2 and 3 minutes before you are hands on the keyboard trying code again. Sometimes they have...
  • Anonymous
    DAND - a great course even for absolute beginners! I am still in the process of completing Term 1 of Data Analyst Nanodegree at Udacity. The experience has been supremely enriching so far. I had absolutely no coding experience and I can now feel the...
  • A Great Start to Launch Your Dream
    I have finished my term 1 in the data analyst nano degree, so far i have developed my skills way much better than when i started this course, all the content which was given in the lessons are well structured and the teaching is really a awesome part from them. Projects where really challenging and interesting, so i sit and work on them with full fun, like how a kid have fun playing in a park, i am a Data science and Machine Learning enthusiastic, and this nano degree was a great start for me, so that i was able to finish my term one with in 1 and Half Month, so i am eagerly waiting to start my Term 2 , to gain more knowledge and to face more challenging task.
  • Not worth the (new) price
    Two days ago I recommended this ND in my blog, and just when I'm about to enroll, they changed the price from $199/mo with 50% discount to $1200 for the whole program! That's insane! For only seemingly minor changes in program curriculum.

    This course is also heavily recommended by David Venturi, who in less than a year after completing this program now has become one of the instructor. Good for you David. But unlike you who are now reaping all the benefits by recommending the course while getting your $hare as affiliates AND being as the instructor at the same time, now your reader has to pay much much more. It's a shame. Udacity please revert to the old price.
  • Both breadth and depth
    I took 3 Nanodegrees, and I can safely say that I enjoyed the Data Analyst Nanodegree (DAND) the most. Udacity's DAND offers a very comprehensive track that is very project-oriented, with coverage on both breadth and depth: Python, scikit-learn, machine learning, R, exploratory data analysis, MongoDB, and visualization libraries like D3.js and dimple.js. The projects are extremely open-ended, and the datasets are both real and challenging. Comparing to other programs, the DAND is less academic, just as rigorous, and very applicable; you end up graduating with a very robust portfolio. Loved it.
  • Rey R.
    Terrific program - systematic, easy to follow along and enough time given
    I completed Term 1 and have already enrolled in Term 2 of the Data Analyst program. I also completed the Data Foundations nanodegree program a couple of months ago. I have become a big fan of the Udacity way of teaching (pedagogy)--short videos, short quizzes to test understanding of knowledge plus hands-on learning experience via projects. The mentors are helpful and the project feedback are helpful (the reviewers kind of finesse their honest feedback with a good does of attaboy and a good serving of encouragement).
  • Anonymous
    Udacity DAND experience
    Udacity’s Data Analyst Nanodegree is a great introduction to data science. It covers topic from SQL, R, Python, Tableau, which are the most common tools for data analytics nowadays. The way to earn certificate is by completing 8 data analysis projects based om different courses it offers. I found it is very rewarding. Upon graduation, you will have 8 projects in your portfolio on hand. If the students have further interest in data science, udacity has many advanced choices to offer. Highly recommended.
  • Saravanan N.
    The quizzes and projects in the Data Analyst Nanodegree program were really interesting. The critiques for each project helped me to learn more.
    Going back to school after 12 years is exciting, can't afford to go to universities for my learning, so the learning method changed. All you need is a healthy desire to learn.
    The whole world is there to help you, thanks to online learning. The quizzes and projects in the Data Analyst Nanodegree program were really interesting.
    The critiques for each project helped me to learn more.
  • Anonymous
    Excellent curriculums and support
    I liked the curriculums of this nano-degree course. I started from Term 1, as I did not have previous experience in numpy, pandas and fundamentals of statistics. Knowledge gained in Term 1 enabled me to study Term 2 contents with enough confidence. What I like most was, very powerful support forum where students can throw any questions . Udacity staff or other students provided advise/feedback that helped me a lot to solve any problems that I encountered during the course.
  • Anonymous
    A comprehensive data analyst course
    DAND is a comprehensive course in python, pandas, numpy, statistics, data wrangling/SQL. The projects and course hands-on notebooks allowed me to put the conceptual knowledge to use and the reviews provided deeper understanding both from programming and practical perspective. Also, the extra-curricular activities are great for developing github presence and prepare for interview questions. I wish that term 1 was longer and inclusive of dashboard lessons/project.

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