There is the most common question that we all come to hear “Is there any future or it’s just the hype in this time phase? “. Let’s clarify the fact that Yes, there is a future in Data Science, In Indian Sectors Data Science will be growing exponentially by 16 Billion Dollars.

Let’s Understand Data Science in an easier way.
As we all use Youtube,If we play a video then it starts showing recommendations/predictions of similar videos. if we play horror or comedy then most probably the next video will be horror or comedy.

On the Keyboard if our spelling gets wrong then it is corrected by autocorrect feature which is possible because of Data Science.

First, we will see what is Data.
Data is the collection of facts and figures but they are not organized in any way.
Data can be numbers, words, measurements, observations, or even just descriptions of things.
In simple words, Data is Raw material in the production of information.

what is data science in simple words

Now let us get deep into what is data science.
Data Science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns and make a meaningful decision
It uses complex machine-learning algorithms to build productive models.

Data Science is mainly depended on Artificial Intelligence , Machine Learning , Deep Learning . We will not cover about AI , ML And DL in this blog

Data Science is of 3 parts :

• 1st Data Collection
• 2nd Data Analyze
• 3rd Data Insights

With The Help of Data Science We can solve :

• Business Problems
• Make Projects
• Real Life Problem Solving

Steps to Learn Data Science:

• You need to learn Programming language The Most Recommended is Python because it has most inbuilt resources
• Learn Statistics Simple that we learned in our schools i.e Mean, Median,Mode
• Data Visualization i.e Graphs , Table , Chart
• Take some lessons on Machine Learning
• Try to Develop Projects

Data Science Tools

• SAS ( Statistical Analytics System)
• Apache Spark
• Big ML
• Matlab
• Tableau
• Jupyter
• Ggplot2
• Scikitlearn
• Tensor Flow
• Excel

Data Science Libraries

• Numpy
• Scipy
• Pandas
• Keras
• Pytorch
• Scarpy
• Plotly
• Seaborn