Explore our Courses

Provide a short description of categories listed below.

Duration: 3 months | Level: Beginner

Data Analysis Professional Certificate

Master SQL, Excel, and Power BI to transform raw data into actionable insights.
Modules:

1. SQL Fundamentals

   • Querying databases (PostgreSQL, MySQL)

   • Joins, subqueries, and optimization

2. Advanced Excel for Analytics

   • PivotTables, VLOOKUP, Power Query

   • Financial modeling basics

3. Power BI Mastery

   • DAX formulas, interactive dashboards

   • Data storytelling techniques

4. Capstone Project

   • Analyze a real-world dataset and present findings

Duration: 4 months | Level: Intermediate

Big Data Engineering Certificate

Process massive datasets with Hadoop, Spark, and cloud platforms.
Modules:

1. Hadoop Ecosystem

   • HDFS, MapReduce, Hive, Pig

2. Apache Spark

   • RDDs, Spark SQL, Streaming

3. Data Pipelines

   • ETL workflows (Airflow, Kafka)

4. Cloud Integration

   • AWS EMR, Google Dataproc

5. Capstone Project

   • Build a scalable data pipeline

Duration: 2 months | Level: Beginner

Business Intelligence & Visualization Certificate

Turn data into decisions with Tableau and advanced Visualization.
Modules:

1. Tableau Fundamentals

   • Charts, filters, calculated fields

2. Advanced Dashboarding

   • Parameters, LOD expressions

3. Data Storytelling

   • Design principles for executives

4. Power BI Integration

   • Comparative analysis

5. Capstone Project

   • Create an executive dashboard for a Fortune 500 case study

Duration: 3 months | Level: Beginner

Statistics & Predictive Modeling Certificate

Master statistical analysis and forecasting with R.
Modules:

1. Probability Foundations

   • Distributions, Bayesian inference

2. Statistical Testing

   • A/B testing, p-values

3. Predictive Modeling

   • Regression, time series (ARIMA)

4. R Programming

   • ggplot2, dplyr, shiny apps

5. Capstone Project

   • Predict sales trends for a retail dataset

Duration: 5 months | Level: Intermediate

Machine Learning Professional Certificate

Build and deploy ML models with TensorFlow and PyTorch.
Modules:

1. Python for ML

   • NumPy, Pandas, Scikit-learn

2. Deep Learning Basics

   • Neural networks (CNNs, RNNs)

3. TensorFlow & PyTorch

   • Model training, transfer learning

4. Model Deployment

   • Flask APIs, ONNX format

5. Capstone Project

   • Develop an AI solution for image/NLP tasks