Course
Introduction to Financial Concepts in Python
- BasicSkill Level
- 4.9+
- 611
Using Python and NumPy, learn the most fundamental financial concepts.
Applied Finance
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Course
Using Python and NumPy, learn the most fundamental financial concepts.
Applied Finance
Course
Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.
Data Manipulation
Course
This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.
Cloud
Course
Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.
Artificial Intelligence
Course
Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.
Artificial Intelligence
Course
Tackle your sales work in an AI-first way! Learn to automate prospecting, draft personalized emails, and streamline CRM tasks using AI.
Artificial Intelligence
Course
Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.
Artificial Intelligence
Course
Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.
Reporting
Course
This course explores how organizations can use custom gen AI agents to help tackle specific business challenges.
Cloud
Course
Discover how to use the income statement and balance sheet in Power BI
Applied Finance
Course
Build AI teams that work together, automate workflows, and generate content with CrewAI.
Artificial Intelligence
Course
Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.
Artificial Intelligence
Course
Interact with a customized GPT and use your prompting skills to plan and open your restaurant.
Artificial Intelligence
Course
This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM.
Cloud
Course
Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.
Artificial Intelligence
Cloud
Course
Gain an overview of AI Agents. Discover how AI Agents use autonomous action and reasoning to solve complex problems.
Cloud
Course
You unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI.
Cloud
Course
You explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
Cloud
Course
Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!
Artificial Intelligence
Course
Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.
Artificial Intelligence
Course
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
Artificial Intelligence
Course
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Software Development
Course
Learn how to write effective prompts with ChatGPT to apply in your workflow today.
Artificial Intelligence
Course
Learn how to create and query relational databases using SQL in just two hours.
Data Manipulation
Course
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Software Development
Course
An introduction to data science with no coding involved.
Data Literacy
Course
Start your journey developing AI-powered applications with the OpenAI API. Learn about the functionality that underpins popular AI applications like ChatGPT.
Artificial Intelligence
Course
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.
Data Manipulation
Course
Data is all around us, which makes data literacy an essential life skill.
Data Literacy
Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.
You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.
As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.
In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.
Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.
There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.
Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.
For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.
Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.
Make progress on the go with our mobile courses and daily 5-minute coding challenges.