Data science uses statistical methods, algorithms, and technology to extract insights and knowledge from structured and unstructured data. Our Learning Path provides you with hands-on training in Python, Tableau, and Machine Learning, enabling you to build a strong foundation to thrive in data-driven roles.
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Data Scientist Learning Path
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Course 1
Python for Data Science
Course 2
Applied Data Science with Python
Course 3
Machine Learning
Course 4
Tableau Training
Course 5
Data Science Capstone
Learn essential skills
Data Scientist Learning Path
Excel as a Data Scientist with this Learning Path
Delivered by our partner, Simplilearn, in collaboration with IBM, this learning path will teach you about key data science concepts and technologies, such as R, Python, Tableau, and Machine Learning. You’ll also learn about supervised and unsupervised learning models, including linear regression, logistics regression, clustering, dimensionality reduction, KNN, and pipelines.
Learning objectives
By the end of this course, you will be able to:
- Understand data structures and data manipulation techniques
- Apply linear and non-linear regression models and classification methods
- Perform scientific computing with SciPy and its sub-packages
- Develop skills in mathematical computing with NumPy and Scikit-Learn
- Learn the principles and applications of machine learning
- Analyse data and create interactive dashboards with Tableau
What you'll learn
The Data Scientist Learning Path equips you with the essential skills and tools to thrive in the field of data science. Develop an understanding of data structures and manipulation techniques, understand regression models, classification methods, and the principles behind machine learning, and explore advanced mathematical computing.
Python for Data Science
Master the fundamentals of Python, the go-to programming language for data science. You’ll learn to manipulate datasets, automate processes, and perform advanced data analysis using powerful libraries like NumPy and SciPy. This course ensures you gain a practical understanding of Python’s role in extracting, organizing, and analysing data, laying the groundwork for more advanced applications in the learning path.
Machine Learning
Delve into the principles and applications of machine learning, a cornerstone of modern data science. You’ll explore key concepts such as regression models, classification techniques, recommendation engines, and time series modelling. With hands-on practice using Scikit-Learn, you’ll develop the skills to create algorithms that analyse data and predict outcomes, preparing you to tackle real-world challenges with confidence.
Tableau Training
Learn to translate complex data into clear, impactful visualisations with Tableau. This training equips you to build interactive dashboards, uncover trends, and communicate data insights effectively. By the end of this course, you’ll be proficient in using Tableau to tell compelling data stories that drive decision-making in business environments.
What's included
- Data Scientist Learning Path training
- 25+ real-life projects providing hands-on experience
- Completion certificates from IBM and Simplilearn
- Portfolio-worthy capstone demonstrating mastered concepts
- Exclusive Hackathons and live interaction with IBM experts
FAQs
On this learning path, you’ll gain industry-relevant skills in data science and advanced analytics, preparing you for roles in this dynamic field.
Will I receive a completion certificate at the end of the course?
Yes, but you will need to meet the following criteria to receive your Data Scientist certificate:
- Python for Data Science: Complete 85% of the eLearning
- Data Science with Python: Complete 85% of the eLearning, pass one project, and pass the assessment test with a score of at least 60%
- Machine Learning: Complete 85% of the eLearning, and pass one project
- Tableau Training: Complete 85% of the eLearning, and pass one project
- Data Science Capstone: Pass one project
How will the Data Scientist Learning Path support my career growth?
The Data Scientist Learning Path is designed to equip you with the in-demand skills and practical knowledge needed to excel in data science roles. By mastering Python programming, machine learning techniques, and data visualisation with Tableau, you’ll develop a strong foundation to tackle real-world data challenges. These skills are highly sought after across industries, making you a competitive candidate for positions such as Data Scientist, Data Analyst, or Machine Learning Engineer.
Do I need prior experience in data science to enrol on this course?
Previous experience in data science is not required for this learning path. However, we do recommend that you have a basic understanding of statistics and any programming language.
What our customers say
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"Wonderful! Very high value for money!"
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