Take Part in the Data Revolution

Data is the fuel that feeds the fire of business decisions in the 21st century. As organizations rely more heavily on big data, having highly-trained experts to expertly collect, analyze, and leverage it is the difference between getting ahead or falling behind.



Data Science experts are needed in nearly every job sector. Some of the most in-demand career opportunities that utilize Data Science technologies are:

Average salary: $43,000 - $85,000

A Data Analyst uses data to acquire information about specific topics. This may involve finding survey participants, gathering data, interpreting data, and then presenting it in forms such as charts or reports.

Key skills that increase Data Analysts’ salaries:

  • Python - 10% increase
  • Tableau Software - 8% increase
  • SQL - 5% increase
  • Data Modeling - 4% increase
  • Data Mining - 3% increase

Average salary: $66,000 - $134,000

Data Scientists are responsible for mining complex data and designing new ways to manage statistical data using models.

Key skills that increase Data Scientists’ salaries:

  • Data Modeling - 10% increase
  • Big Data Analytics - 7% increase
  • Data Mining - 5% increase
  • Python - 3% increase

Average salary: $64,000 - $131,000

Data Engineers are responsible for developing and translating computer algorithms into code. They are also responsible for maintaining, organizing, and identifying trends in large data sets.

Key skills that increase Data Engineers’ salaries:

  • Apache Spark - 10% increase
  • Amazon Web Services - 7% increase
  • Big Data Analytics - 5% increase
  • Data Warehouse - 5% increase
  • Python - 1% increase

Average salary: $75,000 - $153,000

Data Architects are responsible for the design, structure, and maintenance of data. Data management requires advanced skills with computers and proficiency with computer languages such as SQL and XML.

Key skills that increase Data Architects’ salaries:

  • Big Data Analytics 11% increase
  • Data Warehouse - 3% increase
  • Data Modeling - 2% increase

Average salary: $84,000 - $154,000

A Senior Software Engineer usually has a strong background in computer science, web development, and/or engineering. Knowledge and familiarity with web coding such as Javascript, HTML, and CSS are a necessity.

Key skills that increase Senior Software Engineers’ salaries:

  • Python - 7% increase
  • Amazon Web Services - 7% increase
  • Java - 3% increase

Become an active participant in your education

We’ve got Data Science training down to a science. Regardless of your preferred programming language or proficiency in deep learning frameworks, our hands-on, interactive training material is designed for all levels and styles of learning.


Train at your own pace with extensive, on-demand video courses led by expert Data Scientists utilizing Jupyter Notebooks designed to guide you through the content. Each video is built upon core objectives, community observations, and the experiences of your instructor, blending concrete information with real-world scenarios. Once you’ve learned your skills, you can put them to the test through hands-on, interactive Python and Data Analytics courses paired with real-time feedback and experience-building Github projects.


Data Science is one of the most rapidly evolving fields in information technology, with an estimated 31% growth rate. Now is the time to add value to your team and your organization through expert-led training. Whether you want to continually develop your analysis skills or perfect your programming abilities, our platform is the most comprehensive and in-depth learning resource available. Get started today for free with the Starter Pass.

Start your Data Science training today! Explore hundreds of hours of course materials.

Choose the training you want from our library of over 250+ hours of completely original content and get hands-on with INE quizzes, GitHub projects, and programming exercises to reinforce your knowledge through a practical approach to learning.

In addition, our experts have developed Learning Paths designed to keep every crucial topic in one place to guide you through the study process. Each course is organized within the Learning Path for efficiency, focus, and retention. The only thing you have to keep track of is your accomplishments.


Pricing & Plans

With over 2500+ hands-on labs at your finger tips, INE will provide you with all the training you need to drive digital transformation within weeks of starting.

With plans crafted to fit any need from beginner to enterprise, we've got you covered. Access our beginner courses or our whole library. Get started today.

The perfect combination of building real-world skills through challenging coursework and projects.

William Ponton

I have tried multiple ways to learn Data Science. Now, with the lessons and practice provided, I finally feel like I am making real progress

Aiya Akatayeva

Clear guidance while providing detailed explanations. Greatly enhanced my knowledge in a short amount of time

Chris McClusky

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