Data Science ????

Its all about data….

The brand new Buzzword buzzing around the college going students and in the tech industry right now “Data Science”.

Many big organizations are jumping into and diving towards Data science. As a result the production and the sales have risen to 50–100 percent . Take Apple and Amazon as examples. Both companies have improved their global brand positioning, realized steady profits and are on target to continue to grow — partly due to their high-end reliance on data science.

Data is becoming the new fuel to the organizations. The consumer data used by Walmart ,amazon ,Facebook are giving them astonishing results. this focus on data science makes data scientists pretty crucial for businesses of all sizes. These professionals have the competencies for developing machine learning frameworks and offer value for the vast acquired datasets at their disposal.

What the future is going to be like ??

Data Science encompasses many breakthrough tech concepts like Artificial Intelligence, Internet of Things, Deep Learning to name a few. With its progress and technological developments, data science’s impact has increased drastically. So, the future belongs to AI definitely.

Key aspects :

:: Astonishing incline in the Data Growth —

The Data growth just from our mobile consumption is way too much (Goes out of End Users notice). As the data production is rising at lightning speed .

:: The sales factor —

As you know the algorithms are becoming very powerful day by day tempting he users to check out the next video , or buy the next similar product .Increasing the screen time for the particular apps .

::Companies inability to handle data

Data is being regularly collected by businesses and companies for transactions and through website interactions. Many companies face a common challenge — to analyze and categorize the data that is collected and stored.

Key Skills needed for Data Science Enthusiasts :

• Statistical analysis and computing
• Machine Learning
• Deep Learning
• Processing large data sets
• Data visualization-Tableau, Power Bi etc.
• Programming — Preferably Python ,R
• Data Wrangling — Excel Power Query/Spreadsheets
• Mathematics — Algebra skills ,Calculus.
• Statistics — Regression, Correlation depth
• Big Data — Hadoop, Hive, Pig