What you’ll learn
Explain machine learning and its technologies
Discuss and apply Python fundamentals
Understand the NumPy package
Use data analysis using Pandas and data visualization
Implement supervised (regression and classification) & unsupervised (clustering) machine learning
Use various analysis and visualization tools associated with Python, such as Matplotlib, Seaborn etc.
Describe the behavior of data in Python models
Understand how to use the various Python libraries to manipulate data, like Numpy, Pandas and Scikit-Learn
Use Python libraries and work on data manipulation, data preparation and data explorations
Basic Python knowledge is assumed
Some software development experience (including languages, databases…)
This course is an foundational introduction to Python and how to apply it in data science. The course contains about 60 lectures and 7.5 hours of content taught by Praba Santanakrishnan, a highly experienced data scientist and former senior data science and AI expert veteran at Microsoft.
Starting with some fundamentals about “what is data science,” and “who is a data scientist,” the program rapidly move into the specific challenges of data science. This includes the challenges of:
- Problem definitions and collecting data
- Data science methodologies
- Types of machine learning, including supervised and unsupervised machine learning, as well as methodologies and clustering
- Data pipelines
- Data preparation and cleaning
- Data analytics and open source tools
- Data model building validation
- Data visualization
- NumPy, Pandas, Python Notebook, Git, REPL, IDS and Jupyter Notebook.
- Arrays, advanced arrays, and matrices
- Other various data science applications
More about this course and Starweaver
This course is led by a seasoned technology industry practitioner and executive with many years of hands-on, in-the-trenches data science, artificial intelligence and data analytics work. It has been designed, produced and delivered by Starweaver. Starweaver is one of the most highly regarded, well-established training providers in the World, providing training courses to many of the leading financial institutions and technology companies, including:
Ahli United Bank; Mashreqbank; American Express; ANZ Bank; ATT; Banco Votorantim; Bank of America; Bank of America Global Markets; Bank of America Private Bank; Barclay Bank; BMO Financial Group; BMO Financial Services; BNP Paribas; Boeing; Cigna; Citibank; Cognizant; Commerzbank; Credit Lyonnais/Calyon; Electrosonic; Farm Credit Administration; Fifth Third Bank; GENPACT; GEP Software; GLG Group; Hartford; HCL; HCL; Helaba; HSBC; HSBC Corporate Bank; HSBC India; HSBC Private Bank; Legal & General; National Australia Bank; Nomura Securities; PNC Financial Services Group; Quintiles; RAK Bank; Regions Bank; Royal Bank of Canada; Royal Bank of Scotland; Santander Corporate Bank; Tata Consultancy Services; Union Bank; ValueMomentum; Wells Fargo; Wells Fargo India Solutions; Westpac Corporate Bank; Wipro; and, many others.
Starweaver has and continues to deliver 1000s of live in person and online education for organizational training programs for new hires and induction, as well as mid-career and senior level immersion and leadership courses.
If you are looking for live streaming education or want to understand what courses might be best for you in technology or business, just google:
starweaver journey builder starweaver[dot]com
Who this course is for:
- New Python developers looking to quickly develop and keen understanding of the power of Python
- Early stage users of Python who need to use Python in serious, enterprise level applications
- Individuals who are familiar with data science and need to understand the optimal uses for Python
Python for Data Science
An introductory to intermediate level program in Python, and how to apply it in data science