Top 10 Latest courses
Analytics In Python
Rafiuddin Chailan
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RM900
- Obtain skills in setting up Python environment, installing key packages and creating directory paths.
- Learn Python programming skills for handling data structures - lists, tuples, sets and dictionaries
- Perform analytics tasks using Python function, anonymous blocks and class.
- Familiarize with statistical principles and tests in measuring the performance of prediction model
- Perform data cleansing on numerical and categorical data using Pandas, Scikit-Learn, Jupyter Notebook and other supporting tools.
- Learn Machine Learning algorithms that give the most accurate and reliable model for prediction and insight extraction.
- Experience extensive parameter optimization to improve model accuracy
- Create visualization charts to unravel strategic information and insights from high quality data.
- Use popular Python tools - Matplotlib, Seaborn and Plotly to produces static and responsive charts
- Extract insights from accurate model, feature importance and local interpretation of sample prediction.
Business Analytics
Dr Mohd Rais Ahmad, Rafiuddin Chailan
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RM750
- Understand why Data Science is a must for data driven businesses.
- Learn statistical principles and tests used in measuring the performance of prediction model
- Familiarize with secured cloud based Python environment for state-of-the-art Data Analytics browser.
- Perform data cleansing on numerical and categorical data using Pandas, Scikit-Learn, Jupyter Notebook, Plotly Dash and other supporting tools.
- Learn Machine Learning algorithms that give the most accurate and reliable model for prediction and insight extraction
- Experience extensive parameter optimization to improve model accuracy.
- Perform data preparation in desktop Python environment and using BizzInsight Click-ML Technology
- Use BizzInsight Click-ML to visualise data, train model, predict sample and extract insights.
- Optimize model parameters through interactive browser.
Object Detection AI
Dr Mohd Rais Ahmad, Rafiuddin Chailan
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RM750
- Obtain skills in setting up Python environment, installing key packages and creating directory paths.
- Learn Python programming skills for handling data structures - lists, tuples, sets and dictionaries
- Perform analytics tasks using Python function, anonymous blocks and class.
- Familiarize with statistical principles and tests in measuring the performance of prediction model.
- Familiarize with Tensorflow-Keras process flow for Image Processing, Train-Test-Set Generators, Sequential Model Creation and Model Training-Validation.
- Know how to convert Tensorflow(TF) Model to TFLite Model and prepare test Samples.
- Know how to used pretrained Model for Object Detection.
- Can create visualization charts to unravel strategic information and insights from high quality data.
- Know how to use popular Python tools - Matplotlib, Seaborn and Plotly to produces static and responsive charts.
- Can extract insights from accurate model, feature importance and local interpretation of sample prediction.
Big Data Analytics
Ts. Rozita Radzuan, INSTRUCTOR 1 INSTRUCTOR 1
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RM750
- Obtain skills in setting up Python environment, installing key packages and creating directory paths.
- Learn Python programming skills for handling data structures - lists, tuples, sets and dictionaries.
- Perform analytics tasks using Python function, anonymous blocks and class.
- Familiarize with statistical principles and tests in measuring the performance of prediction model.
- Extract Big Data from original sources into Python environment. Transform data by cleansing and preparing it for model training
- Load clean Big Data for inspection and used accurate algorithms and clustering for prediction and insight extraction
- Experience extensive parameter optimization to improve model accuracy
- Create visualization charts to unravel strategic information and insights from high quality data.
- Use popular Python tools - Matplotlib, Seaborn and Plotly to produces static and responsive charts
- Extract insights from accurate model, feature importance and local interpretation of sample prediction.
Love Your Data
Rafiuddin Chailan
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RM300RM100
- Big data analytics versus small data.
- Data Driven Organization (DDO) methodology.
- Strategies to benefit from existing or small data.
- Implement ML flow using Python data analytics engine – BizzInsight.
- Perform data preparation in desktop Python environment and using BizzInsight Click-ML Technology.
- Use BizzInsight Click-ML to visualise data, train model, predict sample and extract insights.
- Optimize model parameters through interactive browser
- Working with real datasets in the cloud.
- Perform data cleansing on actual datasets.
- Train model, perform sample prediction and extract insight from clean data.
- Submit and download analytics and insight reports using interactive browser.
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