[UDACITY] DATA ANALYST NANODEGREE V1.0.0

[UDACITY] DATA ANALYST NANODEGREE V1.0.0
CAREER-READY NANODEGREE–nd002

Data Analyst

Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions

  • 1 Term
  • 4 Months
  • Study 5-10 hrs / week

CO – CREATED WITH

  • kaggle
  • MODE

WHY ENROLL

Become career-ready faster

  • INDUSTRY SIZE & DEMAND

    Data Science Industry is expected to growth 28% Y-O-Y and be worth $187 bn by 2020.

  • JOB OPPORTUNITIES

    Develop skills for a role of Data Analyst, Business Analyst, Analytics Consultant

  • RANKED #08 CNBC

    Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC

  • GLOBAL COMMUNITY

    Join a global community of over 10,000 Data Science Students

Our Hiring Partners for Data Analyst

  • KPIT
  • HCL
  • Sapient
  • Ola Cabs
  • Directi

Prerequisites and Requirements

In order to succeed in this program, we recommend having experience working with data in Python (specifically Numpy and Pandas) and SQL. This includes:

  • Python standard libraries
  • Working with dataframes in Pandas

WHAT YOU LEARN

Study cutting edge Content

Term fee includes

COURSE CONTENT

Best in-class content by industry leaders in the form of bite-size videos and quizzes.

COURSE SYLLABUS
  • 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.

  • 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.

  • 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.

  • 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.

PROJECTS

Industry relevant projects + unlimited project reviews by our global reviewers

PROJECT 1
  • Explore Weather Trends

PROJECT 2
  • Investigate a Dataset

PROJECT 3
  • Analyze Experiment Results

PROJECT 4
  • Wrangle and Analyze Data

PROJECT 5
  • Communicate Data Findings

SERVICES

We guide and support you throughout your learning journey through these services.

Knowledge
  • Search-based Q&A forum

Study Groups
  • Collaborate with Fellow Students

Project reviews & feedback
  • Receive actionable feedback from expert project reviewers until you get your code right!

Your Nanodegree journey

  • ENROLL IN NANODEGREE PROGRAM

    enroll by 12 Dec 2018

  • BRUSH UP ON PRE-REQUISITES

    while you wait for classroom to open, brush up on pre-requisites

  • CLASSROOM OPENS

    classroom will open on 12 Dec 2018

    In case you feel unsure about the program, we offer a full refund on cancelling within 7 days of classroom opening.
  • SUBMIT PROJECTS

    submit all projects within 3 months

  • COMPLETE NANODEGREE PROGRAM

    finish requirements for graduation

  • NANODEGREE CERTIFICATE

    You are eligible to take part in our career fest Propel.

INSTRUCTORS

Learn from top Industry Experts

  • Josh Bernhard

    DATA ANALYST CURRICULUM LEAD

    Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He’s used data science for work ranging from cancer research to process automation.

  • Sebastian Thrun

    INSTRUCTOR

    Sebastian is the co-founder of Udacity and a professor at Stanford University. He’s a prominent figure in artificial intelligence where he’s known as the godfather of automated vehicles. Sebastian spends his time flying as president of Kitty Hawk.

  • Derek Steer

    DATA ANALYST INSTRUCTOR

    Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science

  • Juno Lee

    DATA ANALYST INSTRUCTOR

    As a data scientist at Looplist, Juno built neural networks to analyze and categorize product images, a recommendation system to personalize shopping experiences for each user, and tools to generate insight into user behavior.

  • Mike Yi

    DATA ANALYST INSTRUCTOR

    Mike is a Content Developer with a multidisciplinary academic background, including math, statistics, physics, and psychology.Previously, he worked on Udacity’s Data Analyst Nanodegree program as a support lead.

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