Channel your passion for numbers into industry-ready skills with our Data Science Essentials certificate
Industry-approved curriculum to support your journey into data science
This introduction to Python course covers essential programming concepts for data science. You'll learn scripting basics, algorithms, and data structures like tuples and dictionaries, and explore Python libraries and functions. The course ends with a project where you'll develop a Python script to analyze data, preparing you to tackle real-world data science challenges.
What you'll learn:
In this course, you'll dive into data analysis and visualization using Python. You'll learn statistical measures, explore data types, and master techniques with the pandas library. You'll also use Seaborn and Matplotlib for visualization, handling qualitative, quantitative, and multivariate data. The course concludes with a project where you conduct a full exploratory data analysis, applying descriptive analysis and visualization skills, and object-oriented programming principles. By the end, you'll be skilled in data insights, advanced analysis, and effective visualization.
What you'll learn:
This course covers SQL, data engineering, database administration, and data analysis. You'll learn math, probability, and statistics for data science and advance your Python skills for data cleaning and analysis. Starting with SQL basics, you'll progress to advanced topics like filtering, ordering, and joining data. The course concludes with a project where you apply SQL queries in a Python environment, demonstrating your understanding of database concepts and preparing you for real-world data science challenges.
What you'll learn:
Once you've completed the essentials program, you'll receive a completion certificate from SMU and a Credly badge to display on your LinkedIn and resume. You'll also be able to move on to the Data Science Foundations I program to continue building your skillset.
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Data Scientists gather and analyze large sets of structured and unstructured data. They interpret results to create actionable plans for their organizations.
The Data Analyst serves as a gatekeeper for an organization’s data so stakeholders can understand data and use it to make strategic business decisions.
Business Intelligence Analysts analyze data sets to discover insights, often used for important decision-making strategies throughout an organization.
From day one you'll have access to our student services team — there to answer any questions you have about courses or the enrollment process. Our only mission is to help you achieve life-changing results through our programs. We're dedicated to your educational success, and you’ll never have to do it alone.
Whether you want to build games, design products, prevent the next cyber attack, or create the next internet-breaking AI, we provide the training to bring your ideas to life.
Let's build your future together.