Data Analysis with Python and SQL

Online Course

Udacity
Data Analysis with Python and SQL

What is the course about?

Data Analysis with Python and SQL
The course Data Analysis with Python and SQL is an online class provided by Udacity. It may be possible to receive a verified certification or use the course to prepare for a degree.
Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions
Course description
  • Data Analysis with Python and SQL
  • 4 Months (10 hrs/week)
  • Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.
  • Manipulate and prepare data for analysis, create visualizations.
  • You should have experience working with Python (specifically Numpy and Pandas) and SQL.See detailed requirements.
  • Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas.
  • Learn how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.
  • Learn the data wrangling process of gathering, assessing, and cleaning data. Learn to use Python to wrangle data programmatically and prepare it for analysis.
  • Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.
  • If you are new to programming, try the Programming for Data Science Nanodegree program
  • If you are new to programming, try the Programming for Data Science Nanodegree program
  • 59%of companies plan to increase positions requiring data analysis skills.
  • 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 Trends
  • Investigate 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
  • You should have experience working with Python (specifically Numpy and Pandas) and SQL.
  • The Data Analyst Nanodegree program offers you the opportunity to master data skills that are in demand by top employers, such as Python and Statistics. By the end of the program you will have created a portfolio of work demonstrating your ability to solve complex data problems. After graduating, you will have the skills needed to join a large corporation or a small firm, or even go independent as a freelance data analyst.
  • You’ll have personalized support as you master in-demand skills that qualify you for high-value jobs in the data field. You’ll also receive career support via profile and portfolios reviews to help make sure you’re ready to establish a successful career in data, and land a job you love.
  • Graduates will be well prepared to fill a wide array of data related roles. These include: Data Analyst, Analytics Consultant, Product Manager, and Management Consultant.
  • If you’re someone who wants to make data driven decisions or work with various types of data to conduct analyses, or is interested in becoming an data analyst, this program is ideal for you, because you’ll learn applied statistics, data wrangling with Python, and data visualization with Matplotlib, which will enable you to work with any data set and find and showcase meaningful insights. This will qualify you for roles such as a Data Analyst and Analytics Consultant. You’ll need to have some experience with python and pandas to succeed in this program, and if that’s you, and you’re ready to apply those skills to real world projects, then we encourage you to enroll today.
  • What is the School of Data Science, and how do I know which program to choose?
  • Udacity’s School of Data consists of several different Nanodegree programs, each of which offers the opportunity to build data skills, and advance your career. These programs are organized around three main career roles: Business Analyst, Data Analyst, and Data Scientist.
  • The School of Data currently offers two clearly-defined career paths. These paths are differentiated by whether they focus on developing programming skills or not. Whether you are just getting started in data, are looking to augment your existing skill set with in-demand data skills, or intend to pursue advanced studies and career roles, Udacity’s School of Data has the right path for you! Visit How to Choose the Data Science Program That’s Right for You to learn more.

Prerequisites & Facts

Data Analysis with Python and SQL

Course Topic

Computer Science, Python, SQL

University, College, Institution

Udacity

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Data Analysis with Python and SQL

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (399 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udacity
Data Analysis with Python and SQL
provided by Udacity

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School: Udacity
Topic: Computer Science, Python, SQL
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