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September 25, 2020 2025-08-20 16:30Education Center
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Executive Leadership Programme
In today’s evolving business landscape, there’s a growing need for …
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Intermediate
Fast track technology transformation
Close the technology skills gap by developing high-performing teams with …
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Fast track technology transformation
1.5 hour
Intermediate
What you'll learn
Databases and SQL for Data Science with Python
Python Project for Data Engineering
Data Analysis with Python
All Levels
Embedded Systems Course
Embedded Systems Course provide students with learning methodologies and practical knowledge …
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All Levels
Generative AI Fundamentals Specialization
Generative AI is revolutionizing our lives. This specialization provides a …
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Generative AI Fundamentals Specialization
3.5 hours
All Levels
What you'll learn
Explain the fundamental concepts, capabilities, models, tools, applications, and platforms of generative AI foundation models.
Apply powerful prompt engineering techniques to write effective prompts and generate desired outcomes from AI models.
Discuss the limitations of generative AI and explain the ethical concerns and considerations for the responsible use of generative AI.
Recognize the ability of generative AI to enhance your career and help implement improvements at your workplace.
All Levels
The Data Science Course: Complete Data Science Bootcamp
Data scientist is one of the best suited professions to …
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The Data Science Course: Complete Data Science Bootcamp
6.5 hours
All Levels
What you'll learn
The course provides the entire toolbox you need to become a data scientist
Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
Impress interviewers by showing an understanding of the data science field
Learn how to pre-process data
Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
Start coding in Python and learn how to use it for statistical analysis
Perform linear and logistic regressions in Python
Carry out cluster and factor analysis
Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
Apply your skills to real-life business cases
Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
Unfold the power of deep neural networks
Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
Warm up your fingers as you will be eager to apply everything you have learned here to more an
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