Data Science In 5 Minutes | Data Science For Beginners | What Is Data Science? | Simplilearn {VIDEO}

This Data Science tutorial video will give you an idea on the life of a Data Scientist, steps involved in Data science project, roles & salary offered to a Data Scientist. Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data Science is basically dealing with unstructured and structured data. Data Science is a field that comprises of everything that is related to data cleansing, preparation, and analysis. In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data. Now, let us get started and understand what is Data Science all about.

Below topics are explained in this Data Science tutorial:
1. Life of a Data Scientist
2. Steps in Data Science project
– Understanding the business problem
– Data acquisition
– Data preparation
– Exploratory data analysis
– Data modeling
– Visualization and communication
– Deploy & maintenance
3. Roles offered to a Data Scientist
4. Salary of a Data Scientist

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This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.

You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:

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1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package

The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields

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  1. Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

  2. But. From Where can we start date science? . There are several things of managing the date as like of many field. What's the best to get in field of data .

  3. This video is informative and help full for understanding what exactly is Data Scientist doing…
    Apart from this, I would like to know if I can start my career into Data Science after having 8 years experience in Java(J2EE) including projects development and Problem Management(Production support).Below are few doubts I have.

    1] Is there only single team that takes care of all the 7 phases mentioned above ?Just like we have different phases in SDLC
    2] Considering the career switch after 8 years, its impact on salary and job role/level of work?
    4] Skills in demand , requirements of any extra courses/certifications
    5] Future career path/growth as a data scientist basis organizational hierarchy and salary

  4. Strange video…it's a presented like it's meant to teach a child (which is fine, I like it!) but then the explanations completely lost me?! (What the heck is KNN, Naive Bayes, Decision, etc….). Definitely not for beginners.

  5. Great video! As an established data scientist myself, this is definitely an accurate data science project lifecycle; however, I almost never go through all of these steps in the same day. You can spend whole days just cleaning data, tuning models, or putting things into production. The work that you do can also vary by company, some data scientists only work on part of that lifecycle just doing exploration and modeling or modeling and productionization. I have a few videos on my channel that complement this one nicely for those interested!

  6. I'm a Banker and don't no anything about Programming like JAVA, C++ etc… can i be the data scientist? if yes! please do let me know how can i be can i be the data scientist..? need some tips please.
    note: i know HTML/ CSS.

  7. Thank you for this super interesting video! 🙂
    I would like to ask you something: Which are the most important skills that a data analyst should have/learn?

  8. Can data science be learnt by an arts student, having no technical or coding background ?? How much time does it take to learn completely from scratch?

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