This Specialization provides a complete, hands-on pathway to mastering Python for data science. Learners begin by analyzing datasets, visualizing results, and applying statistical methods before progressing into advanced programming, supervised machine learning, and time series forecasting. With practical, project-based training, you will bridge theory with application—gaining the confidence to design, implement, and evaluate data-driven solutions. Ideal for aspiring data scientists, analysts, and professionals seeking practical skills for industry success.
Python for Data Science: Real Projects & Analytics Specialization
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.
Instructor: EDUCBA
Included with 
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
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.
Overview
Skills you'll gain
- Database Management
- Predictive Modeling
- Data Science
- Data Visualization
- Statistical Hypothesis Testing
- Statistics
- Feature Engineering
- Computer Networking
- Probability & Statistics
- Statistical Analysis
- Regression Analysis
- Box Plots
- Forecasting
- Supervised Learning
- Exploratory Data Analysis
- Histogram
- Descriptive Statistics
- Time Series Analysis and Forecasting
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
October 2025
60 practice exercises
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
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
Data Analysis, Matplotlib, Data Manipulation, Regression Analysis, Statistical Analysis, Scatter Plots, NumPy, Python Programming, Box Plots, Data Science, Programming Principles, Scripting, Histogram, Statistical Methods, Probability & Statistics, Data Visualization Software, Applied Machine Learning, Machine Learning Algorithms, Statistical Inference, and 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
Pandas (Python Package), NumPy, Regression Analysis, Data Science, Probability, Descriptive Statistics, Statistical Modeling, Predictive Modeling, Histogram, Data Visualization, Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Statistics, Statistical Inference, Correlation Analysis, and Probability & Statistics
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
Integrated Development Environments, Computer Networking, Real Time Data, Data Analysis Expressions (DAX), Application Development, and Database Management
What you'll learn
Skills you'll gain
Pandas (Python Package), Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Supervised Learning, Feature Engineering, NumPy, Data Cleansing, Predictive Modeling, Statistical Modeling, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, and Scikit Learn (Machine Learning Library)
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
Time Series Analysis and Forecasting, Forecasting, Feature Engineering, Data Processing, Predictive Modeling, Exploratory Data Analysis, Statistical Modeling, Data Visualization, Jupyter, Pandas (Python Package), Trend Analysis, Data-Driven Decision-Making, Statistical Analysis, and Sales Management
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
The Specialization can typically be completed in approximately 15 to 16 weeks, with learners dedicating about 3–4 hours per week. This flexible schedule allows you to progress steadily through foundational concepts, advanced Python techniques, applied statistics, supervised machine learning, and time series forecasting. By following this structured pace, you will not only master the technical skills but also gain the confidence to apply them in real-world projects, ensuring both depth and practical readiness for data science roles.
Learners are expected to have a basic understanding of Python programming along with familiarity with fundamental mathematics and statistics. Prior exposure to concepts such as variables, loops, functions, and descriptive statistics will be helpful but not mandatory, as the courses are structured to gradually build on these skills.
Yes, it is recommended to follow the courses in the prescribed sequence. The curriculum is designed to start with essential Python and statistical foundations before advancing into applied machine learning and time series forecasting. Completing the courses in order ensures a smooth learning progression and maximizes comprehension.
More questions
Financial aid available,