Corporate Finance Institute
Practical Data Science for Data Analysts Specialization

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Corporate Finance Institute

Practical Data Science for Data Analysts Specialization

Practical Data Science for Data Analysts. Advanced Finance and Data Science Specialization

Included with Coursera Plus

Get in-depth knowledge of a subject
4.8

(9 reviews)

Advanced level

Recommended experience

3 months
at 2 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(9 reviews)

Advanced level

Recommended experience

3 months
at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build machine learning models in Python for financial trend analysis and prediction

    Data cleaning and feature engineering to enhance model accuracy

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Corporate Finance Institute

Specialization - 5 course series

What you'll learn

Skills you'll gain

Category: Feature Engineering
Category: Supervised Learning
Category: Exploratory Data Analysis
Category: Data Cleansing
Category: Data Literacy
Category: Business Analytics
Category: Predictive Analytics
Category: Classification And Regression Tree (CART)
Category: Regression Analysis
Category: Data-Driven Decision-Making
Category: Data Storytelling
Category: Machine Learning
Category: Data Analysis
Category: Data Modeling
Category: Data Science
Category: Statistical Analysis
Category: Business Intelligence
Python Fundamentals

Python Fundamentals

Course 25 hours

What you'll learn

Skills you'll gain

Category: Data Visualization Software
Category: Data Transformation
Category: Pandas (Python Package)
Category: Python Programming
Category: Data Manipulation
Category: NumPy
Category: Matplotlib
Category: Seaborn
Category: Data Science
Category: Data Analysis
Category: Financial Data
Category: Computer Programming
Category: Statistical Analysis
Category: Financial Analysis
Category: Data Cleansing
Category: Exploratory Data Analysis

What you'll learn

Skills you'll gain

Category: Regression Analysis
Category: Microsoft Excel
Category: Supervised Learning
Category: Data Analysis
Category: Exploratory Data Analysis
Category: Predictive Modeling
Category: Pandas (Python Package)
Category: Statistical Analysis
Category: Statistical Modeling
Category: Scikit Learn (Machine Learning Library)
Category: Matplotlib

What you'll learn

Skills you'll gain

Category: Supervised Learning
Category: Feature Engineering
Category: Classification And Regression Tree (CART)
Category: Performance Metric
Category: Analytics
Category: Exploratory Data Analysis
Category: Regression Analysis
Category: Predictive Modeling
Category: Machine Learning Algorithms
Category: Scikit Learn (Machine Learning Library)
Category: Applied Machine Learning
Category: Data Analysis
Category: Machine Learning
Category: Data Modeling

What you'll learn

Skills you'll gain

Category: Data Validation
Category: Feature Engineering
Category: Exploratory Data Analysis
Category: Data Cleansing
Category: Python Programming
Category: Data Transformation
Category: Data Processing
Category: Box Plots
Category: Data Manipulation
Category: Correlation Analysis
Category: Statistical Analysis
Category: Data Visualization
Category: Scikit Learn (Machine Learning Library)
Category: Data Import/Export
Category: Descriptive Statistics
Category: Data Analysis
Category: Pandas (Python Package)
Category: Data Science
Category: Plot (Graphics)

Earn a career certificate

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Instructor

CFI (Corporate Finance Institute)
Corporate Finance Institute
29 Courses57,143 learners

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