Launch your career in data science with hands-on skills and experience. Master Python, SQL, and machine learning for in-demand roles in just 5 months.
Launch your career in data science with hands-on skills and experience. Master Python, SQL, and machine learning for in-demand roles in just 5 months.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Fractal Data Science Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Apply structured problem-solving techniques to complex data challenges
Master SQL for data manipulation and analysis
Develop expertise in Python programming and data manipulation
Create powerful visualizations using PowerBI
Implement machine learning algorithms for predictive modeling
Craft compelling data stories for effective communication
Skills you'll gain
This course includes:
200 Hours PreRecorded video
Projects and assignments across 8 courses
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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There are 8 courses in this program
Structured Approach to Problem Solving
Course 1 · 15 Hours to complete · 3 modules
Data Analysis Using SQL
Course 2 · 18 Hours to complete · 5 modules
Insights of Power BI
Course 3 · 14 Hours to complete · 4 modules
Python for Data Science
Course 4 · 38 Hours to complete · 5 modules
Human Decision Making and its Biases
Course 5 · 14 Hours to complete · 4 modules
Foundations of Machine Learning
Course 6 · 25 Hours to complete · 6 modules
Advanced Machine Learning Algorithms
Course 7 · 20 Hours to complete · 6 modules
Data Storytelling
Course 8 · 12 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked questions
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