Learn predictive data analysis with Python using NumPy, Pandas, Matplotlib, and Seaborn. Apply skills to real-world finance and advertising projects to extract and visualize insights.
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In this course, you will learn how to perform predictive data analysis using Python. The ideal audience is those who want to start their careers as data analysts. The main goal of this course is to show you how to use statistics to draw useful insights from data which can help in predicting future behavior or patterns.
Beyond that, you’ll learn all the tools of the trade that data scientists use everyday including: NumPy, Pandas, Matplotlib, and Seaborn. You’ll learn not only how to extract meaningful insights from data, but you’ll also learn how to create stunning visualizations that you can use for reports.
Various datasets of real-world scenarios are used in each lesson to get you accustomed to handling any type of data. At the end of the course, you will work on two real-world projects that demonstrate how data analysis techniques are being used in the financial and advertisement sector to generate revenue.
In this course, you will learn how to perform predictive data analysis using Python. The ideal audience is those who want to sta...Show More
TAKEAWAY SKILLS
Analysis Tools
Data Extraction
Data Statistics
Data Cleaning
Data Manipulation
Data Visualization
Insights Extraction
Content
62 Lessons5 Quizzes1 Assessment3 Challenges
1.
Getting Started
1 Lessons
Get familiar with Python-based tools for effective and insightful data analysis.
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