Statistical Analysis in Data Science Using Python

Topic 1 Frequentist Inference

• What is Hypothesis Testing
• T Statistics
• Student's t-test
• What is Statistical Modeling
• Statistical Modeling with StatsModel
• Goodness of Fit
• ANOVA

Topic 2 Bayesian Inference

• Overview of Bayesian Statistics and Bayesian Inference
• Conjugate Priors - Beta and Gamma Distributions
• Markov Chain Monte Carlo (MCMC) Methods
• Posterior Estimate with PyMC3
• Maximum A Posterior (MAP) Estimation
• Bayesian Linear Regression

Basic knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is good although not necessary. For basic python training, we recommend Basic Python Training Course and Python Essential Training.

• Aspiring Software Developer
• Data Analyst
• Web Developer
• Automation Engineer
• Data Scientist
• System Administrator
• Bioinformatics Specialist
• Research Scientist
• Finance Professional
• Machine Learning Enthusiast
• GIS (Geographic Information System) Specialist
• IT Consultant
• Network Engineer
• Database Administrator
• Tech Entrepreneur.

Ghazaleh Babanejad: Ghazaleh Babanejad has received her Ph.D from University Putra Malaysia in Faculty of Computer ‎Science and Information Technology. She is working on recommender systems in the ‎field of skyline queries over Dynamic and Incomplete databases for her PhD thesis. She is also working ‎on Data Science field as a trainer and Data Scientist. She worked on Machine Learning and Process ‎Mining projects. She also has several international certificates in Practical Machine Learning (John ‎Hopkins University) Mining Massive Datasets (Stanford University), Process Mining (Eindhoven ‎University), Hadoop (University of San Diego), MongoDB for DBAs (MongoDB Inc) and some other ‎certificates. She has more than 5 years of experience as a lecturer and database administrator.

Saeid Alizadeh: Saeid Alizadeh is a technopreneur specialized in field of IOT (Internet of things), Building Management System (BMS), Building Automation System (BAS), Automotive Hydroponics Systems, and generally sense, monitor and control mechanical and electrical equipment such as ventilation, lighting, power systems, fire systems, and security systems.

Saeid past experience on IoT application include:

1. Smart Building System
2. Energy Monitoring, Controlling and Saving
3. Environmental Monitoring 
4. Flood detection and prediction system based on IoT and big data 
5. Online Weather Station Based on IoT
6. Smart Farming System (Long Range Wireless Sensor Networks)
7. Smart Hydroponic System Based on IoT
8. IP TV and Digital Signage System
9. RFID Solution 
10. GPS Tracking System
11. Remote Sensin

Reza Khosravi: Reza Khosravi is the founder and CEO of Skymics Sdn Bhd a High Tech MSC status company in field of IT and Internet of Things Technology. He has over 15 years of experience in IT and Telecomunication. He is the inventor of the C65 embedded device. He graduated from Staffordshire University with MBA degree in IT.

• More than 5 years of experiance in Smart Cities Solutions
• Expert on Embedded System Design, Raspberry Pi and Arduino
• Expert on IBM Blunix and IBM Watson
• More than 3 years of experiance in filed of IoT solutions.
• He is the designer of below IoT Projects in last 3 years.