Time Series Analysis Courses and Certifications

AI and Climate Change

149 ratings at Coursera

Review the mechanisms of anthropogenic climate change, then apply time series analysis to wind power forecasting and computer vision to biodiversity monitoring.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Marketing Analytics & Retail Business Management using Excel

1889 ratings at Udemy

Retail analytics using MS Excel - Covering Forecasting, Market Basket, RFM, Customer Valuation & Price Bundling

• Udemy
• 7 hours 54 minutes
• Self-Paced
• Paid Course

Data Manipulation in Python: A Pandas Crash Course

1890 ratings at Udemy

Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.

• Udemy
• 8 hours 49 minutes
• Self-Paced
• Paid Course

Data Science for Business | 6 Real-world Case Studies

1761 ratings at Udemy

Solve 6 real Business Problems. Build Robust AI, DL and NLP models for Sales, Marketing, Operations, HR and PR projects.

• Udemy
• 11 hours 42 minutes
• Self-Paced
• Paid Course

Career Certificate

Machine Learning for Supply Chains

87 ratings at Coursera

Apply machine learning to supply chain problems: forecast demand with time series models, explore advanced AI techniques, and predict safety stock in a capstone project.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Data Science Real World Projects in Python

1434 ratings at Udemy

Build Data science Real world Projects in AI, ML , NLP and Time Series domain & get a job of Data Scientist/ML Engineer

• Udemy
• 14 hours 39 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Forecasting and Predictive Analytics Methods Pack

73 ratings at Coursera

Build and stress-test forecasting models: Excel forecasting functions, scenario analysis, Monte Carlo simulation, ETS and ARIMA in Python, Power BI forecasts, and GenAI-assisted planning.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 8 courses

Advanced Data Analysis with Generative AI

68 ratings at Coursera

Use generative AI to run predictive analysis, decompose and forecast time series, extract insights from unstructured text, and detect anomalies and outliers in datasets.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Deep Learning in Electronic Health Records

Build MLP, CNN and LSTM models for ECG time-series classification, then preprocess, impute and encode MIMIC-III electronic health records to predict in-hospital mortality.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Deep Learning in Electronic Health Records

Apply deep learning to clinical data: build MLPs, CNNs and RNNs for ECG classification, then impute and encode MIMIC-III records to predict in-hospital mortality.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Python for Data Science: Real Projects & Analytics

47 ratings at Coursera

Analyze and visualize datasets in Python, apply statistical methods, optimize advanced code, build logistic regression models, and forecast sales with time series.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

EDUCBA

Regression & Forecasting for Data Scientists using Python

43 ratings at Coursera

Build time-series forecasts and linear regression models in Python: decompose trends and seasonality, apply ARIMA and exponential smoothing, handle missing values, outliers, and feature scaling.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Visualization for Data Analysis with Power BI

41 ratings at Coursera

Analyze data in Power BI with correlation, cluster, cohort and geospatial techniques, DAX time intelligence, and AI visuals like key influencers and decomposition trees.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Python for Data Analytics

29 ratings at Coursera

Work through a full data analytics workflow in Python: manipulate data with pandas, plot with matplotlib and Seaborn, run t-tests and regressions, and forecast time series.

• Coursera
• 5 weeks, 8 hours a week
• Self-Paced
• Paid Course

Career Certificate

Introduction to Data Science Techniques

23 ratings at Coursera

Learn foundational data science techniques: time series analysis, statistical learning, and data preparation, cleaning and exploring data and building predictive models from statistical output.

• Coursera
• 24 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses