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 Barbados NTI

Get in-depth knowledge of a subject

from 32 reviews of courses in this program

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

from 32 reviews of courses in this program

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.

Details to know

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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 EDUCBA

Specialization - 5 course series

Data Science with Python: Analyze & Visualize

Data Science with Python: Analyze & Visualize

Course 1, 9 hours

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.

Statistics for Data Science with Python

Statistics for Data Science with Python

Course 2, 8 hours

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.

Advanced Python for Data Analysis: Build & Optimize

Advanced Python for Data Analysis: Build & Optimize

Course 3, 13 hours

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.

Python: Logistic Regression & Supervised ML

Python: Logistic Regression & Supervised ML

Course 4, 5 hours

What you'll learn

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.

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Instructor

EDUCBA
EDUCBA
1,191 Courses282,488 learners

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EDUCBA

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