Career Tracks
Your data Professional career path starts here. Choose your career track and become the best candidate for your desired job.
What Is Your Desired Data Professional Career Path?
Data Scientist
Build your data science skills from the ground up, starting with the math and statistics intuition required for machine learning. Develop your coding skills with relational database management in SQL and programming in Python. Then dive into machine learning that equips you with advanced capabilities to work with ML models. With our structured data science training taught by renowned-industry experts, you’ll gain the tools necessary to stand out as an exceptional candidate for the data science job.
Data Analyst
Master the ins and outs of foundational data analysis tools with courses on in-demand SQL. Then, learn to leverage the popular programming language Python and its fundamental data cleaning and preprocessing libraries: pandas and NumPy. Supplement your data analyst training with the full range of data visualization practices you need to tell compelling stories through data. Following this structured roadmap, you’ll sharpen your analytical mindset and develop the skills to land a rewarding data analyst job successfully.
Business Analyst
Our business analyst training will shape your skills and transform you into a successful data-driven professional. Our courses on Data Literacy and Strategy help you understand the importance of data and how to gain business insights from it. You then learn beginner and advanced Excel techniques—essential for the day-to-day workflow—and utilize visualization software such as Tableau to present your data findings clearly and effectively. This business analyst certification program will complement your theoretical and technical know-how so you gain an edge in the business analyst job market.
Data Engineer
To transition into a role as a Data Engineer, it’s crucial to focus on building a strong foundation in database management, coding, and data processing. Start by mastering SQL, which is essential for managing and querying databases. Python proficiency, especially in data manipulation libraries like pandas and NumPy. Familiarity with data modeling and ETL (Extract, Transform, Load) processes will also be beneficial. Given the emphasis on structured training by industry experts, seek out courses that cover these specific areas, ensuring you acquire practical skills in handling and processing data at scale.
Sign up for a career track, master the unique skillset employers require, and land the best data science job.
Enroll in a Career Track
Sign up for one of our data science tracks to experience structured learning and advance your skills.
Enroll in as many career tracks as you like.
Choose Your Electives
Select up to two data science courses that complement the required topics in your chosen track. For your convenience, we’ve suggested several electives that fit well with each data science career path.
You have the freedom to choose which ones you’d like to take.
Take the Classes
Feel free to watch the highly recommended, best-in-class video lessons and determine how much to engage with the content.
Pass the Course Exams
All required and elective courses in your track come with respective course exams.
You can access the questions even if you haven’t watched the lessons. But you need to score at least 60% to continue the program.
Complete the Final Exam
Ultimately, you’ll take a final exam that covers all required topics in the career track of your choice.
This comprehensive assessment will determine whether you receive a Career Track Certificate.
Own Your Data Science Journey from the Start
Follow the path you’re passionate about and develop the skills for your exciting data science career.
