Python for Data Science: Learn Data Science From Scratch

Data Science with Python, NumPy, Pandas, Matplotlib, Data Visualization Learn with Data Science project & Python project

Created by: Oak Academy
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Created by: OAK Academy Team
instructor

What Will I Learn?

• Fundamentals of Pandas Library (Data science, Python data science, data science project, python project)
• Learn Fundamentals of Python for effectively using Data Science
• Installation of Anaconda and how to use for Python, Pandas, Numpy
• Using Jupyter notebook
• Numpy arrays
• Series and Features in Python for Data science, numpy and pandas
• Combining Dataframes, Data Munging and how to deal with Missing Data
• How to use Matplotlib library and start to journey in Data Visualization
• Also, why you should learn Python and Pandas Library (numpy, pandas, python numpy pandas)
• Learn Data Science with Python, Numpy and pandas
• OAK offers highly-rated data science courses that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies
• Whether you’re interested in machine learning, data mining, or data analysis, Udemy has a course for you.
• Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets.
• Data science is the key to getting ahead in a competitive global climate.
• Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction.
• Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems.
• Python is the most popular programming language for data science. It is a universal language that has a lot of libraries available.
• Data science requires lifelong learning, so you will never really finish learning.
• It is possible to learn data science on your own, as long as you stay focused and motivated. Luckily, there are a lot of online courses and boot camps available
• Some people believe that it is possible to become a data scientist without knowing how to code, but others disagree.
• A data scientist requires many skills. They need a strong understanding of statistical analysis and mathematics, which are essential pillars of data science.
• The demand for data scientists is growing. We do not just have data scientists; we have data engineers, data administrators, and analytics managers.

Requirements

• No prior data science, python knowledge is required
• Free software and tools used during the python data science course
• Basic computer knowledge
• Desire to learn data science
• Curiosity for python programming
• Desire to learn Python
• Desire to work on data science Project
• Desire to learn python with numpy, pandas, matplotlib
• Desire to learn python data science with python, numpy, pandas, matplotlib
• LIFETIME ACCESS, course updates, new content, anytime, anywhere, on any device
• Nothing else! It’s just you, your computer and your ambition to get started today

Target audience

• Anyone who wants to learn data science,
• Anyone who plans a career in data scientist,
• Software developer whom want to learn python data science,
• Anyone eager to learn Data Science python with no coding background
• Anyone eager to learn Python with no coding background
• Anyone who wants to learn Pandas
• Anyone who wants to learn Numpy
• Anyone who wants to learn Matplotlib
• Anyone who wants to work on real data science project
• Anyone who wants to learn data visualization projects.
• people who want to learn python projects, data science projects