EDUCBA
Python for Data Science: Real Projects & Analytics Specialization
EDUCBA

Python for Data Science: Real Projects & Analytics Specialization

Master Python Data Science Techniques. Build real-world data science projects using Python, statistics, ML, and forecasting models.

EDUCBA

Instructor: EDUCBA

Included with Coursera Plus

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Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply Python programming to analyze, visualize, and interpret real-world datasets.

  • Build, train, and evaluate supervised machine learning and forecasting models.

  • Integrate statistical methods with Python tools to create data-driven solutions.

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Taught in English
Recently updated!

October 2025

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  • 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 EDUCBA

Specialization - 5 course series

What you'll learn

  • Analyze datasets with Python scripting, functions, and libraries.

  • Visualize data using charts, scatter plots, histograms, and box plots.

  • Apply ML techniques like regression and gradient descent models.

Skills you'll gain

Category: NumPy
Category: Box Plots
Category: Python Programming
Category: Statistical Analysis
Category: Statistical Inference
Category: Probability & Statistics
Category: Matplotlib
Category: Applied Machine Learning
Category: Data Analysis
Category: Histogram
Category: Scripting
Category: Data Manipulation
Category: Statistical Methods
Category: Programming Principles
Category: Scatter Plots
Category: Regression Analysis
Category: Data Science
Category: Data Visualization Software
Category: Machine Learning Algorithms
Category: Data Cleansing

What you'll learn

  • Summarize datasets with descriptive stats and visualizations.

  • Apply probability concepts and test hypotheses with Python.

  • Build and evaluate regression models for predictive analysis.

Skills you'll gain

Category: Probability & Statistics
Category: Data Science
Category: Probability
Category: Regression Analysis
Category: Data Visualization
Category: Correlation Analysis
Category: Statistics
Category: Histogram
Category: Descriptive Statistics
Category: Statistical Hypothesis Testing
Category: Data Analysis
Category: Statistical Inference
Category: Statistical Modeling
Category: Predictive Modeling
Category: Pandas (Python Package)
Category: Statistical Analysis
Category: NumPy

What you'll learn

  • Implement client-server apps, chatbots, and database integration.

  • Optimize data analysis with NumPy arrays, matrices, and vectors.

  • Build scalable Python solutions using advanced techniques.

Skills you'll gain

Category: Real Time Data
Category: Database Application
Category: Computer Networking
Category: Application Development
Category: Data Analysis Expressions (DAX)
Category: Integrated Development Environments

What you'll learn

Skills you'll gain

Category: Pandas (Python Package)
Category: Exploratory Data Analysis
Category: Feature Engineering
Category: NumPy
Category: Data Manipulation
Category: Decision Tree Learning
Category: Supervised Learning
Category: Machine Learning Algorithms
Category: Data Cleansing
Category: Machine Learning
Category: Data Analysis
Category: Predictive Modeling
Category: Scikit Learn (Machine Learning Library)
Category: Applied Machine Learning
Category: Statistical Modeling
Category: Classification And Regression Tree (CART)

What you'll learn

  • Preprocess and decompose time series data to uncover patterns and trends.

  • Build and evaluate SARIMA models for robust sales forecasting in Python.

  • Apply Prophet to model trend, seasonality, and holidays for accurate forecasts.

Skills you'll gain

Category: Time Series Analysis and Forecasting
Category: Feature Engineering
Category: Forecasting
Category: Jupyter
Category: Data-Driven Decision-Making
Category: Predictive Modeling
Category: Sales Management
Category: Data Processing
Category: Pandas (Python Package)
Category: Exploratory Data Analysis
Category: Data Visualization
Category: Statistical Analysis
Category: Trend Analysis
Category: Statistical Modeling

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Instructor

EDUCBA
EDUCBA
407 Courses122,462 learners

Offered by

EDUCBA

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