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Data Analysis with Python and SQL

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

Taught by Analyze Experiment Results
Suitable for everyone
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Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.

What You'll Learn in This Course

Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.

Learning Outcome 1

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.

Learning Outcome 2

Manipulate and prepare data for analysis, create visualizations.

Learning Outcome 3

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

Skills You'll Develop

This comprehensive Data Analysis with Python and SQL curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.

Hands-on LearningPractical ExercisesReal-World ProjectsIndustry Best Practices

Course Requirements & Target Audience

Understand what you need to succeed in this course and determine if it's the right fit for your learning goals

Prerequisites & Requirements

What you need before starting this Data Analysis with Python and SQL course:

  • 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.

Who This Course Is For

This course is perfect for:

  • Motivated learners at any level
  • Self-paced students
  • Anyone interested in the subject

This course might not be suitable if:

  • • You're looking for a quick tutorial rather than comprehensive learning
  • • You prefer learning without structured curriculum
  • • You need highly specialized or niche content

Course Information & Details

Everything you need to know about this online course, from duration to certification

Course Instructor

Analyze Experiment Results

Expert instructor with industry experience

Subject Category

Python, SQL, Computer Science

Part of our Python, SQL, Computer Science curriculum

Course Language

English

All materials in English

Start Your Learning Journey Today

This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.

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Course Enrollment

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Comprehensive Program

Professional training from $399

Pricing may vary. Check the course provider for current promotions and exact pricing.

What's Included

  • 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.
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Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.

  • Instant access after enrollment
  • Learn at your own pace
  • Direct enrollment with Udacity

Where this course fits

Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.