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Practical Data Science for Data Analysts
Master Python, data preparation, and machine learning for financial analysis with hands-on projects and industry-relevant skills.
Course Cost
₹ 5,199
Advanced
Skill Level
21 Hours
Self-paced lessons
This comprehensive specialization combines Python programming fundamentals with advanced data science techniques for financial analysis. Designed for professionals with basic math and Excel knowledge, it covers essential skills in data preparation, machine learning, and predictive modeling. The program includes hands-on projects with real-world financial datasets, ensuring practical experience in data manipulation and analysis. Students learn everything from basic Python syntax to advanced feature engineering and model evaluation, preparing them for data-driven roles in finance.
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What you'll learn
Master Python programming for financial data analysis
Develop expertise in data cleaning and feature engineering
Build and evaluate machine learning models
Analyze financial trends using predictive analytics
Implement classification techniques for decision-making
Perform advanced data preparation for machine learning
Apply statistical methods to financial datasets
Skills you'll gain
This course includes:
21 Hours PreRecorded video
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 courses in this program
Data Science & Machine Learning Fundamentals
Course 1 · 5 Hours to complete · 9 modules
Python Fundamentals
Course 2 · 5 Hours to complete · 8 modules
Regression Analysis - Fundamentals & Practical Applications
Course 3 · 4 Hours to complete · 9 modules
Classification - Fundamentals & Practical Applications
Course 4 · 3 Hours to complete · 7 modules
Data Prep for Machine Learning in Python
Course 5 · 5 Hours to complete · 10 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked Questions
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