India Courses & Certifications

Environmental Psychology

Environmental crises are behaviour problems: apply place attachment, eco-anxiety, Value–Belief–Norm theory, nudging and systems thinking to design evidence-based sustainability interventions and policies.

• Coursera
• 12 weeks, 2 hours a week
• Self-Paced
• Paid Course

Degree

MBA in Business Analytics

Master in-demand data science skills and become a business management expert with the new online MBA in Business Analytics from OP Jindal Global University, the No. 1 private university in India.

• Coursera
• Self-Paced
• $7,500.00

Degree

M.A. in International Relations, Security, and Strategy

Study international relations theory, diplomatic practice, maritime and naval strategy, terrorism, and conflict negotiation to analyse the foreign policies of great, middle and small powers.

• Coursera
• Self-Paced
• $6,000.00

Degree

M.A. in Public Policy

Analyse contemporary political, economic and social issues through policy theory, micro- and macroeconomics, public finance, statistical and qualitative methods, programme evaluation, and a faculty-guided capstone project.

• Coursera
• Self-Paced
• $6,000.00

Text Mining for Marketing

Learn how text mining turns customer reviews, social posts and feedback into marketing insights using sentiment analysis, topic modelling, named entity recognition and text classification.

• Coursera
• 12 weeks, 2 hours a week
• Self-Paced
• Paid Course

Supervised Learning and Its Applications in Marketing

Apply supervised learning to marketing problems in Python: build decision trees, product recommender systems, customer lifetime value models, and neural networks for churn prediction.

• Coursera
• 12 weeks, 2 hours a week
• Self-Paced
• Paid Course

Unsupervised Learning and Its Applications in Marketing

Apply unsupervised learning to marketing data in Python: cluster with k-means, hierarchical and DBSCAN, reduce dimensions with PCA and t-SNE, detect anomalies, and build RBM recommenders.

• Coursera
• 12 weeks, 2 hours a week
• Self-Paced
• Paid Course

Foreign Policies of Great, Middle, and Small Powers

Analyze how a state's power position shapes its foreign policy, using hard, soft and smart power concepts and case studies of the US, China, India, Nigeria, North Korea and Qatar.

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

Introduction to Decision Science for Marketing

Learn to apply predictive marketing without heavy math: build customer profiles, optimize customer lifetime value, cluster personas, run remarketing and look-alike targeting, and manage churn.

• Coursera
• 15 weeks, 2 hours a week
• Self-Paced
• Paid Course

Microeconomics: Foundations and Insights

Think like an economist: analyze consumer and producer choice, opportunity cost, competitive markets, welfare theorems, strategic games and Nash equilibrium, monopoly, duopoly and cartels.

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

Emerging Technologies & Digital Business

Examine how blockchain, AI, IoT, cloud computing and big data reshape business: platform models, digital marketing, cybersecurity, mobility, Industry 4.0 manufacturing and immersive reality.

• Coursera
• 16 weeks, 1 hour a week
• Self-Paced
• Paid Course

Predictive Analytics and Forecasting

Apply predictive analytics to business decisions: run regression, naïve Bayes, k-nearest neighbors, logistic regression, decision trees, neural networks, clustering, and association rule mining.

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

Big Data Analytics

Analyze high-volume data with Hadoop, HDFS, MapReduce, Hive and Pig, query NoSQL stores, then build regression, classification and streaming applications with Spark and MLlib.

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

Business Economics

Apply economic reasoning to business decisions: demand and supply, elasticity, costs, market structures, game theory, GDP, inflation, unemployment, growth and exchange rates.

• Coursera
• 17 weeks, 1 hour a week
• Self-Paced
• Paid Course

Machine Learning

Build, evaluate and improve machine learning models in Python: classification, regression and clustering with scikit-learn, then neural networks, word embeddings and CNNs with TensorFlow.

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