Advanced Data Science with Python - Complete Training Course
Master advanced data science techniques with our comprehensive Python course. Dive into Python's powerful features for data manipulation and analysis. Learn memory management, object-oriented programming (OOPS), file operations with databases & spreadsheets. Gain expertise in Pandas for data wrangling and machine learning algorithms for predictive analytics. This hands-on training empowers you to unlock actionable insights from complex datasets.
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What you'll learn
- Gain proficiency in Python's program structure for efficient coding.
- Implement file operations for diverse file formats and databases.
- Apply machine learning algorithms to solve real-world problems.
- Develop functions with a thorough understanding of scope and arguments.
- Master core Python data types and operations for robust data handling.
- Learn memory management techniques including garbage collection.
- Comprehend OOPS principles to create modular code in Python.
- Understand the significance of Python in data science.
- Utilize Pandas for advanced data manipulation tasks.
Why should you attend?
This Advanced Data Science with Python course is meticulously designed to provide an in-depth understanding of data science fundamentals, leveraging the power of Python. Participants will start by grasping the rationale behind using Python for data science and explore its program structure. As they progress, they'll delve into the nuances of execution steps, including working with interactive shells, script files, and integrated development environments (IDEs). The journey continues through memory management and garbage collection processes to ensure efficient object creation and deletion. A deep dive into data types and operations will equip learners with knowledge on handling various data structures such as numbers, strings, lists, tuples, dictionaries, sets, and more. Students will also learn about converting between these core types. Advanced topics cover statements and syntax rules for control flow constructs like loops and conditional statements. File operations are thoroughly explored, including file I/O for various formats and database interactions. The course then transitions into defining functions, understanding scope, and utilizing arguments effectively. Object-oriented programming concepts are introduced with a focus on classes, objects, inheritance, constructors, and operator overloading. The Pandas library is covered extensively for series and DataFrame manipulation alongside indexing, selecting data, function applications, reindexing strategies. Finally, machine learning techniques form a crucial part of the curriculum with detailed explanations of algorithms' mathematical foundations, application scenarios, differences from other algorithms, result interpretation using Python code examples. Topics such as hypothesis testing, correlation analysis, outlier detection are included along with specific statistical methods and machine learning models.
Course Syllabus
Day 1 - Python Fundamentals and Data Types
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Control Flow and Functions
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - OOP and Data Science
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
Course Reviews
"The training session was truly outstanding! The content was presented with clarity, and the hands-on exercises in Data Science with Python were incredibly beneficial. The instructor's expertise and engaging teaching style made the learning experience both enjoyable and insightful."
"By joining this course i am now know what is the important step of becoming data scientist, from analyzing, cleaning and choosing the best data to visualize the useful information."
"All agenda is good and clear to understand. This course is good for people become to data scientist"
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
Courses you may like
Why should you attend?
This Advanced Data Science with Python course is meticulously designed to provide an in-depth understanding of data science fundamentals, leveraging the power of Python. Participants will start by grasping the rationale behind using Python for data science and explore its program structure. As they progress, they'll delve into the nuances of execution steps, including working with interactive shells, script files, and integrated development environments (IDEs). The journey continues through memory management and garbage collection processes to ensure efficient object creation and deletion. A deep dive into data types and operations will equip learners with knowledge on handling various data structures such as numbers, strings, lists, tuples, dictionaries, sets, and more. Students will also learn about converting between these core types. Advanced topics cover statements and syntax rules for control flow constructs like loops and conditional statements. File operations are thoroughly explored, including file I/O for various formats and database interactions. The course then transitions into defining functions, understanding scope, and utilizing arguments effectively. Object-oriented programming concepts are introduced with a focus on classes, objects, inheritance, constructors, and operator overloading. The Pandas library is covered extensively for series and DataFrame manipulation alongside indexing, selecting data, function applications, reindexing strategies. Finally, machine learning techniques form a crucial part of the curriculum with detailed explanations of algorithms' mathematical foundations, application scenarios, differences from other algorithms, result interpretation using Python code examples. Topics such as hypothesis testing, correlation analysis, outlier detection are included along with specific statistical methods and machine learning models.
What you'll learn
- Gain proficiency in Python's program structure for efficient coding.
- Implement file operations for diverse file formats and databases.
- Apply machine learning algorithms to solve real-world problems.
- Develop functions with a thorough understanding of scope and arguments.
- Master core Python data types and operations for robust data handling.
- Learn memory management techniques including garbage collection.
- Comprehend OOPS principles to create modular code in Python.
- Understand the significance of Python in data science.
- Utilize Pandas for advanced data manipulation tasks.
Course Syllabus
Day 1 - Python Fundamentals and Data Types
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Control Flow and Functions
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - OOP and Data Science
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Course Reviews
"The training session was truly outstanding! The content was presented with clarity, and the hands-on exercises in Data Science with Python were incredibly beneficial. The instructor's expertise and engaging teaching style made the learning experience both enjoyable and insightful."
"By joining this course i am now know what is the important step of becoming data scientist, from analyzing, cleaning and choosing the best data to visualize the useful information."
"All agenda is good and clear to understand. This course is good for people become to data scientist"
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.
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FAQ
Frequently Asked Questions About This Course
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