Udacity - Data Analyst Nanodegree

Data Analyst Nanodegree is aimed to equip all the skills a data analyst need to conduct full, end-to-end analyses harnessing the power of Python, the leading industry programming language for data analysis.

Modules:

Module 1: Introduction to Data Analysis

• Learn how to create interactive, shareable data reports with Jupyter Notebooks
• Get set up with Anaconda, the leading package management & deployment solution for data science
• Investigate datasets using two of Python’s most powerful data science libraries, NumPy & pandas

Module 2: Practical Statistics

• Learn to apply key concepts like Simpson's Paradox, conditional probability, Bayes Theorem & more
• Explore various probability distributions and learn how they apply to hypothesis testing
• Practice conducting invaluable statistical techniques like A/B tests, multiple linear regression & logistic regression

Module 3: Data Wrangling

• Gather data from multiple sources, including reading saved files, downloading from URLs, scraping web pages, and accessing data from APIs
• Identify data quality issues and use metrics to categorize them by validity, accuracy, completeness, consistency, and uniformity
• Clean data using Python and pandas and test your cleaning code visually and programmatically

Module 4: Data Visualization with Python

• Understand various pitfalls that can impact the effectiveness and interpretability of visualizations
• Learn how to present data in a wide range of statistically-valid visualizations, including histograms, scatterplots, heatmaps, and more
• Learn how to customize almost any aspect of your visualizations (including how to present multiple variables at once)

Projects:

Project 1: EXPLORE GLOBAL WEATHER TRENDS

Get familiar with SQL, and how to download data from a database. Analyze local and global temperature data and compare global temperature trends.

Project 2: INVESTIGATE YOUR OWN DATASET

Implement an end-to-end analysis on a dataset of your choice (choose from movie, census, sports, or firearm data!).

Project 3: CONDUCT A/B TESTING FOR AN ECOMMERCE BUSINESS

Help a business understand its A/B test results and decide whether they should push new changes to their website.

Project 4: WRANGLE MESSY DATA FROM MULTIPLE SOURCES

Gather dirty data from a variety of sources, assess its quality and tidiness, then clean and present it graphically.

Project 5: VISUALIZE & PRESENT YOUR DATA FINDINGS

Learn sound design principles for visualization, then use a variety of tools & libraries to present your findings.