Corporate Finance Institute
Practical Data Science for Data Analysts Specialization
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

(10 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

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

Python Fundamentals

Course 25 hours

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

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Instructor

CFI (Corporate Finance Institute)
Corporate Finance Institute
29 Courses62,578 learners

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