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33 Courses

Course

Introduction to SQL

  • BasicSkill Level
  • 4.8+
  • 53,993 reviews

Learn how to create and query relational databases using SQL in just two hours.

Data Manipulation

AI Tutor

45 min

Course

Intermediate SQL

  • BasicSkill Level
  • 4.8+
  • 35,418 reviews

Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

Data Manipulation

AI Tutor

5 hours

Course

Joining Data in SQL

  • BasicSkill Level
  • 4.8+
  • 21,818 reviews

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

Data Manipulation

AI Tutor

2 hours 30 min

Course

Data Manipulation in SQL

  • BasicSkill Level
  • 4.8+
  • 2,529 reviews

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

Data Manipulation

4 hours

Course

Exploratory Data Analysis in SQL

  • IntermediateSkill Level
  • 4.7+
  • 4,520 reviews

Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

Exploratory Data Analysis

4 hours

Course

Database Design

  • BasicSkill Level
  • 4.7+
  • 7,335 reviews

Learn to design databases in SQL to process, store, and organize data in a more efficient way.

Data Engineering

4 hours

Course

PostgreSQL Summary Stats and Window Functions

  • IntermediateSkill Level
  • 4.7+
  • 7,104 reviews

Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!

Software Development

4 hours

Course

Introduction to SQL Server

  • BasicSkill Level
  • 4.8+
  • 389 reviews

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

Software Development

4 hours

Course

Introduction to SQL Querying with AI

  • BasicSkill Level
  • 4.8+
  • 540 reviews

Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.

Data Manipulation

3 hours

Course

Analyzing Business Data in SQL

  • IntermediateSkill Level
  • 4.8+
  • 240 reviews

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Reporting

4 hours

Course

Applying SQL to Real-World Problems

  • IntermediateSkill Level
  • 4.8+
  • 1,142 reviews

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Reporting

4 hours

Course

Intermediate SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 228 reviews

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Software Development

4 hours

Course

Introduction to NoSQL

  • BasicSkill Level
  • 4.8+
  • 786 reviews

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Data Engineering

4 hours

Course

Creating PostgreSQL Databases

  • BasicSkill Level
  • 4.8+
  • 602 reviews

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Data Preparation

4 hours

Course

Reporting in SQL

  • IntermediateSkill Level
  • 4.8+
  • 778 reviews

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Reporting

4 hours

Course

Introduction to Oracle SQL

  • BasicSkill Level
  • 4.8+
  • 245 reviews

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Data Manipulation

4 hours

Course

NoSQL Concepts

  • IntermediateSkill Level
  • 4.8+
  • 515 reviews

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Data Engineering

2 hours

Course

Intermediate SQL Querying with AI

  • BasicSkill Level
  • 4.8+
  • 220 reviews

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Data Manipulation

3 hours

Course

Improving Query Performance in SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 394 reviews

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Software Development

4 hours

Course

Cleaning Data in PostgreSQL Databases

  • IntermediateSkill Level
  • 4.8+
  • 443 reviews

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Data Preparation

4 hours

Course

Time Series Analysis in SQL Server

  • IntermediateSkill Level
  • 4.7+
  • 361 reviews

Explore ways to work with date and time data in SQL Server for time series analysis

Data Manipulation

5 hours

Course

Transactions and Error Handling in SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 264 reviews

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Software Development

4 hours

FAQs

What is data science?

Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.

How can I learn data science?

You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.

What skills are required for data science?

As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.

What can I use data science for?

In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.

Is data science a good career?

Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.

Is it difficult to become a data scientist?

There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.

Does data science require coding?

Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.

How long does it take to become a data scientist?

For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.

What topics can I study within data science?

Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.

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