Data Science Roadmap 2023 | Complete Data Science Roadmap for Beginners | Simplilearn

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Data Science Roadmap 2023 by Simplilearn explains steps to be taken to become a Data Scientist as a beginner. Data Science Roadmap 2023 helps you to understand the technologies needed to become a Data Scientist, the salary offered to a data scientist in different industries, and their value in the technological field.

✅00:00 - Data Science Roadmap 2023

✅01:24 - Significance of Data Science in industries
This phase of the video explains the importance of data scientists in the top industries.

✅03:18 - Prerequisites and technologies
This part of the video contains all the technologies required before becoming a data scientist.

✅06:15 - Salary of a Data Scientist
This part of the video has information about average salary of a data scientist both in India and USA.

Now we will see how top industries are involved in the field of Data Science. By 2025, the data science industry is anticipated to grow to a value of $16 billion. There is an abundance of Data Science jobs all over the world. Now let us list out Crucial areas where Data Science is used
Media and Entertainment - The major players in the media and entertainment sector, such as YouTube, Netflix, Hotstar, etc., have begun to use data science to better understand their audience and provide them with recommendations that are both relevant and personalized.
Ecommerce - Data science has aided retail companies in better meeting their expectations. As they bring a unique combination of deep data knowledge, technology skills, and statistical experience, data scientists are in high demand in the retail industry. Top recruiters are amazon, Flipkart, Walmart, Myntra, etc.,

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✅ About Course
This Data Science course, in collaboration with IBM, accelerates your career in Data Science and provides you with the world-class training and skills required to become successful in this field. The course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, R, Tableau, and concepts of Machine Learning.

✅ Skills Covered
- Gain an in-depth understanding of data structure and data manipulation
- Understand and use linear and non-linear regression models and classification techniques for data analysis
- Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
- Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave

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✅ Eligibility Criteria
This Data Science course is suitable for recent graduates and experienced professionals willing to start a career in data science.
There are no specific eligibility requirements to take this Data Science training.

✅ Watch Data Science Training Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUJF3y

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