Data Science Course | Data Science Tutorial | Intellipaat

Data Science Course | Data Science Tutorial | Intellipaat

šŸ”„Intellipaat Data Science course: https://intellipaat.com/data-science-architect-masters-program-training/In this data science tutorial video you will know ...

In this data science course video you will know everything you need to become a data scientist. This data science tutorial covers topics such as what is data science, data scientists roles, their day to day tasks, data scientists salary, major statistics and probability concepts, data visualization, data manipulation, end to end data science project, data science interview questions and a lot more. If you are looking for a data science full course then this data science tutorial is just the right video for you.

Why Data Science is important? Data Science is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Data Science that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat Data Science training & Data Science Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

Why should you opt for a Data Science career? If you want to fast-track your career then you should strongly consider Data Science. The reason for this is that it is one of the fastest growing technology. There is a huge demand for Data Scientist. The salaries for Data Scientist is fantastic.There is a huge growth opportunity in this domain as well. Hence this Intellipaat Data Science tutorial is your stepping stone to a successful career!

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šŸ”µ Intellipaat Data Science with Python course: https://intellipaat.com/python-for-data-science-training/In this Data Science With Python Training video, you...

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Python For Data Science | Python For Data Analysis

Python for Data Science, you will be working on an end-to-end case study to understand different stages in the data science life cycle. This will mostly deal with "data manipulation" with pandas and "data visualization" with seaborn. After this, an ML model will be built on the dataset to get predictions. You will learn about the basics of the sci-kit-learn library to implement the machine learning algorithm.