CERTIFIED DATA SCIENTISTS
STARTS ON
1 JUNE 2022
DURATION
5 days, On-site Training in our office or your company site
5 days (6 hours per Day)
Apply before 21 July 2022 and avail early bird tuition assistance of RM 500.
What will you get out from this Training Program?
- Data Transformation
- Descriptive Analytics
- Predictive Analytics
- Clustering
- Classification
- Neural Networks
- Feature Engineering
- Performance Evaluation
- Text Analytics
- Real Data Science Use Cases
Training Modules
This is a complete course that provides you detailed understanding of data science, encompasses basic statistical concepts to advanced analytics and predictive modeling techniques, along with data acquisition, analysis, statistical methods and machine learning. The objective of the course is to learn statistical analysis techniques and tool to solve business problems that help you to emerge as ‘Industry Ready’ professional in the field of Data Science. You will be learning the Data Science skills using Python and its numerical, machine learning, and NLP libraries, the most popular and leading programming language, analytical tools and libraries widely used across industries.
The training is divided into multiple modules that would you to explore the basics of the Python programming language, and once you become comfortable with the basics, we will gradually introduce the step-by-steps the features of the Python analytics libraries.
- Arithmetic and String Operations in Python
- Identifiers, Lists, and Dictionaries
- Operators, Control Structures and Loops
- Data Input and Output
- Data Structure and Data Types
- File Handling: Import and Export Data
- NumPy Standard Data Types
- NumPy Arrays
- Aggregations: Max, Min, Sum, and Average
- Mathematical Functions
- Array Manipulation: Sorting and Filtering
- Series, Dataframe
- Data Selection
- Indexing, Reindexing,
- Iteration
- Sorting
- Statistical Functions
- Aggregations
- Missing Data
- Grouping
- Sparse Data
- Merging/Joining
- Concatenation
- Arrays
- Indexing and Slicing
- Reshape and Resize
- Categorical Data
- Ordinal Encoder
- OneHot Encoder
- Line, Scatter, and Density Plots
- Multiple Subplots
- Visualising Errors
- Customize Legends, Ticks, Colourbars, and Labels
- Correlation
- Covariance
- Pearson's correlation
- Spearman's rank correlation
- Correlation
- Linear Regression
- Logistic Regression
- Support Vector Machines
- K-Nearest Neighbors
- Decision Trees
- Random Forests
- Gradient Boosting Trees
- Ensemble Learning
- K-means
- Expectation-Maximization (EM) + GMM
- Kernel Density Estimation
- Hierarchical Trees
- Density-based Spatial
- Distance Measurements
- Multilayer Perceptron
- Multi-class classification task
- Network Topology and Configuration
- Principle Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
- Accuracy
- Confusion Matrix
- Area Under ROC Curve
- Mean Absolute Error
- R Squared
- NLP & Text Processing Libraries
- Text Normalization
- Text Representation Model
- Word Embedding
- Text Classification
- Text Similarity
- Sentiment Analysis
- Supermarket Sales Prediction
- Insurance Prediction
Instructors
Dr. Amril currently works as the Chief Architect at a leading telecom analytics solutions provider. He has 15 years of experience in managing Artificial Intelligence and Big Data related projects from both academic and industry.
As the Chief Architect, he has led and managed USD$150M+ data science & big data technical project delivery and operational teams for the Company’s Telecommunication Traffic Monitoring and Tax Revenue Assurance system, which processes 20+ billion of CDR (Call Detail Records) transactions with an average of 4 Terabytes of binary and text data on a daily basis from telecommunication operators in India, Ghana, Guinea, and Sierra Leon.
He has conducted extensive data science training classes to students for the last 5 years in the Middle East. He earned his PhD in Computer Science from the University College London (UCL), UK.
Lujaini currently works as Lead Solution Analyst. He has vast experience implementing various Machine Learning algorithms using PyTorch, Sci-kit Learn, Tensorflow, YOLO and Darts.
In his previous work, he worked on various data analytics projects such as the Malaysian political sentiment analysis, image processing analysis, and exploratory covid-19 analysis. Currently, he is working on speech-to-text data modelling project.
Who Is This Training For?
Certificate
