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

Access provided by Shoolini University

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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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: Regression Analysis
Category: Python Programming
Category: Statistical Analysis
Category: Bayesian Statistics
Category: Data Analysis
Category: Data Manipulation
Category: Scatter Plots
Category: Box Plots
Category: Data Visualization Software
Category: Machine Learning Algorithms
Category: Scripting
Category: Data Preprocessing
Category: Statistical Methods
Category: Probability & Statistics
Category: Data Science
Category: Statistical Inference
Category: Histogram

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

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

What you'll learn

Skills you'll gain

Category: Pandas (Python Package)
Category: Model Evaluation
Category: Exploratory Data Analysis
Category: Logistic Regression
Category: Decision Tree Learning
Category: Supervised Learning
Category: Feature Engineering
Category: NumPy
Category: Machine Learning Methods
Category: Data Preprocessing
Category: Statistical Machine Learning
Category: Data Analysis
Category: Classification Algorithms
Category: Classification And Regression Tree (CART)
Category: Scikit Learn (Machine Learning Library)
Category: Machine Learning Algorithms
Category: Data Mining
Category: Applied Machine Learning
Category: Predictive Modeling

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: Data Preprocessing
Category: Model Evaluation
Category: Pandas (Python Package)
Category: Trend Analysis
Category: Predictive Analytics
Category: Exploratory Data Analysis
Category: Predictive Modeling
Category: Statistical Analysis
Category: Data Visualization
Category: Data Analysis
Category: Jupyter
Category: Data-Driven Decision-Making

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Instructor

EDUCBA
EDUCBA
820 Courses 209,677 learners

Offered by

EDUCBA

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