Data Analytics for Practitioners - Master Analytics & ML Skills
Master the art of transforming data into actionable insights with our Data Analytics for Practitioners course. Engage with hands-on exercises and industry-relevant case studies to excel in predictive modeling, text analytics, customer segmentation, and advanced classification techniques. Enroll now to acquire a coveted skill set in the dynamic field of data analytics.
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Corporate Pricing
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Training Provider Pricing
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Features
Subsidies
What you'll learn
- Gain proficiency in customer segmentation using clustering techniques like k-means.
- Set up a comprehensive data architecture encompassing ingestion tools and storage solutions.
- Learn to apply text analytics for business insights including sentiment analysis and churn prevention.
- Build effective text data pipelines using ElasticSearch for efficient data processing.
- Implement advanced classification methods such as Word2Vec/Doc2Vec and LSTM networks.
- Develop expertise in predictive analytics using decision trees, logistic regression, neural networks.
- Create compelling visualizations with Python to present complex data clearly.
- Understand foundational mathematical concepts relevant to data analytics.
Why should you attend?
This Data Analytics for Practitioners course offers a deep dive into the multifaceted world of data analytics, with a focus on practical applications and real-world case studies. Participants will begin by grounding their knowledge in essential mathematical concepts such as Probability, Statistics, Linear Algebra, and Calculus, which are pivotal in understanding data patterns and algorithms. As the course progresses, learners will explore the business implications of text analytics, learning to categorize customer sentiments, prevent churn, and enhance scoring models that drive decision-making in lending, marketing, and credit sectors. The curriculum includes building robust text data pipelines using ElasticSearch (ES), enabling efficient data ingestion and processing. Students will be engaged in hands-on exercises that include customer segmentation, sentiment analysis, and predictive modeling using various machine learning techniques like decision trees, logistic regression, neural networks, and clustering methods like k-means. Advanced topics will cover sophisticated classification techniques using Word2Vec/Doc2Vec and Long Short-Term Memory (LSTM) networks for nuanced customer complaint segmentation. Additionally, the course delves into setting up comprehensive data architectures with tools like Nifi and Pentaho while tackling both SQL and NoSQL storage solutions. Finally, learners will sharpen their skills through practical exercises on advanced analytics and visualization using Python libraries such as seaborn, gleam, and plotly.
Course Syllabus
Day 1 - Analytics Fundamentals and Predictions
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Advanced Text and Visualization
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Deep Learning and Deployment
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Ratings and Reviews
Instructor
Instructor
Instructor
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
Instructor
Instructor
Instructor
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
Tasmeea Rahman
Data Analytics & Engineering Training Specialist"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."
"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."
"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."
FAQ
Frequently Asked Questions About This Course
Why should you attend?
This Data Analytics for Practitioners course offers a deep dive into the multifaceted world of data analytics, with a focus on practical applications and real-world case studies. Participants will begin by grounding their knowledge in essential mathematical concepts such as Probability, Statistics, Linear Algebra, and Calculus, which are pivotal in understanding data patterns and algorithms. As the course progresses, learners will explore the business implications of text analytics, learning to categorize customer sentiments, prevent churn, and enhance scoring models that drive decision-making in lending, marketing, and credit sectors. The curriculum includes building robust text data pipelines using ElasticSearch (ES), enabling efficient data ingestion and processing. Students will be engaged in hands-on exercises that include customer segmentation, sentiment analysis, and predictive modeling using various machine learning techniques like decision trees, logistic regression, neural networks, and clustering methods like k-means. Advanced topics will cover sophisticated classification techniques using Word2Vec/Doc2Vec and Long Short-Term Memory (LSTM) networks for nuanced customer complaint segmentation. Additionally, the course delves into setting up comprehensive data architectures with tools like Nifi and Pentaho while tackling both SQL and NoSQL storage solutions. Finally, learners will sharpen their skills through practical exercises on advanced analytics and visualization using Python libraries such as seaborn, gleam, and plotly.
What you'll learn
- Gain proficiency in customer segmentation using clustering techniques like k-means.
- Set up a comprehensive data architecture encompassing ingestion tools and storage solutions.
- Learn to apply text analytics for business insights including sentiment analysis and churn prevention.
- Build effective text data pipelines using ElasticSearch for efficient data processing.
- Implement advanced classification methods such as Word2Vec/Doc2Vec and LSTM networks.
- Develop expertise in predictive analytics using decision trees, logistic regression, neural networks.
- Create compelling visualizations with Python to present complex data clearly.
- Understand foundational mathematical concepts relevant to data analytics.
Course Syllabus
Day 1 - Analytics Fundamentals and Predictions
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Advanced Text and Visualization
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Deep Learning and Deployment
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
Tasmeea Rahman
Data Analytics & Engineering Training Specialist"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."
"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."
"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructors
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
FAQ
Frequently Asked Questions About This Course
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