How to become a successful Data Scientist?

How to become a successful Data Scientist?

In response to the bulk of datasets being captured and analyzed, opportunities for data scientists are rapidly growing. Today, data scientist job is one of the hottest jobs on the globe. No matter what’s the type and size of the business, all need to analyze data to make the better decision for smooth business operations.

In data science, you will learn about the latest tools and technologies to employ it in various fields such as health, finance, product development, sales and more. Many prestigious institutions are there to demonstrate with real-world examples, how data science is used to improve decision-making ability and performance.

Course objectives:

In Data Science courses, you will learn various skills and tools like Hypothesis testing, Clustering, Linear and Logistics regression, R Studio, Python, Hadoop, Spark, SAS Macros, Kafka interfaces, and more. After learning these techniques, you would have lots of opportunities to enhance your career as a data scientist.

Here is the list of courses come under Data Science

•              Data science with SAS training

•              Data Science Certification Training with R programming

•              Big Data Hadoop and Spark Training

•              Data Science with Python

•              Business Analytics with Excel

•              Apache Kafka

All these courses are provided with access to quality eLearning content, experts’ community, simulation exams, and other resources to career enhancement in the field of Data science.

Future Scope:

Since leveraged data provides enterprises with lots of competitive advantages. Companies can handle a huge amount of data with an ease on regular basis. Hence, there is an unparalleled demand for Data Science and Data Analytics professionals. As per one of the latest survey US offers more than 20 K job opening per month for Data Scientist and Analyst with an estimated average of $70K - $150K salary package.

After getting Data Analytics Certifications from prestigious institutions, you will be able to work anywhere around the globe. Big E-commerce companies like Amazon, Flipkart, Ebay, Snapdeal,….etc always have a high demand for Data Scientist and Analyst professionals and will remain forever. So, Date is everywhere and hence you would have excellent career growth after learning these skills.

Eligibility Criteria:

If you have graduate or even undergraduate with mathematics, commerce or computer science steams you can join the data science course or various Data Analytics Certification programs. Moreover, you need to have some technical and business skills to become a successful Data Scientist or Analyst.

Technical Skills:

•              Math and Statistics

•              Machine Learning Tools and Techniques

•              Data Mining and Cleaning

•              Data Visualization

•              Python Programming

•              Data Platforms like Hadoop

•              SQL Database

Business Skills:

•              How to collect, analyze and utilize data

•              Exploring new techniques to solve problems with Intellectual Curiosity

•              Dealing with technical and non-technical audiences with effective communication

•              Approaching the high-level challenges to make the maximum use of time and human resources.

Professional organizations for Data Analytics Certifications

•              Data Science Association

•              International Institute of Analytics (IIA)

•              International Machine Learning Society (IMLS)

•              Institute of Operations Research and the Management Sciences (INFORMS)