Data Science Course

                                 What is Data Science?

Data science combines mathematics, business acumen, algorithms, tools, and machine learning techniques, which help enterprises find hidden patterns and insights from raw data and help make profitable business decisions.

Data science deals with both structured and unstructured data, and algorithms also involve predictive analytics. Therefore, data science is essential both in the present and future enterprises management. One can use various tools and techniques in data science to predict the future needs of businesses. Considering a data analyst course can be a profitable career opportunity for candidates as the demand for data management increases.

Why consider a Data Science course?

A large amount of data is continuously being generated, and with constant evolution in the analytics discipline, data science has become the need of business. For most of the data, companies in various domains such as Finance, Marketing, Retail, IT, and banking are looking for Data Analysts. With huge demand considering a Data science course is the next thing for candidates enthusiastic about data management. Data management is the next big thing, with a large salary and several popular companies looking for data analysts. It is a lucrative job for many, and opting for a data analyst course is beneficial.

3 Components Of Data Science

Data Science comprises 3 parts:

Machine Learning- ML involves algorithms and mathematical models which create models for machines to learn and prepare them for daily advancements. For example, for trading and financial systems, time series forecasting is widely in use. Machines can predict future trends for the upcoming months.

Big Data: Humans create data constantly with clicks, orders, videos, images, articles, RSS feeds, comments, etc. These data are unstructured and called –Big data. Data sciences apply tools to create unstructured data in structures and assist businesses to make applications and experiences for customers based on previous choices.

Business Intelligence: Enterprises created too much data, and this data can be analyzed carefully in visual reports with graphs and can help in decision making.  Data Analyst course are the way for a bright career ahead.

Skills Required for Data Science Career

There are various skills required to be a data scientist that includes:

Tools

1. In-depth knowledge in R
2. Python coding.
3. MS Excel
4. Hadoop Platform
5. SQL database/coding
6. Technology

 Techniques

1. Mathematical Expertise
2. Working with unstructured data

Business Understanding

1. Business Acumen
2. Model building process in Data Science

 Job Trends after Data Science Course

According to Indeed, the average salary for a data scientist is $120,234 per year in the United States.

Education and Experience Requirement

Candidates with graduation, Masters, and Data Science course bootcamp are sought by recruiters. A few years of experience or project handling is helpful, and considering a data analyst course is helpful. Along with this, programming knowledge in Python and R is also required.

Job Roles to Consider after Data Science Course

• Business Analytics Professional
• Business Intelligence Professional
• Data Scientist
• Big Data Analysts
• HR Analytics Professionals
• Marketing Analytics Professionals; are some of the best professional roles with high paying salaries and a profitable future.