Wednesday 17 January 2018

Data Science Course in Bnagalore - Learnbay

Data science in recent days has created a huge impact in almost all the industries.As a result Big data analytics has become top priority in all the organizations.Here is top five reasons Why you should consider data science as your career?
1.Demand For Data Scientist
In the Next Few Years ,It is expected that the size of the data analytics market will evolve to at least one-thirds of the global IT market from the current one-tenths.All the organizations whether large and small – are clamoring to find employees who can understand and synthesize data, and then communicate these findings in a way that proves beneficial to the company and help the management to make decisions.
2. Career Growth And Salaries
There is a shortage of data scientist at all the levels from beginner,Freshers to that of manager level.Since IT industry is at the verge of change so many middle level manager s and professional across domains are finding their career growth stagnant .Data science is the best option to overcome downturns of career stagnation.
Annual pay hikes for Analytics professionals in India is on an average 50% more than other IT professionals.Salary trends for Data science professionals across the globe indicates a positive and exponential growth.
3. Work Options
When you become a data scientist, you can work practically anywhere you wish in any domains ,any part of world.Apart from technology industry which of course employs most data scientist , data science professionals can work in other industries and domains ranging from healthcare/pharma to marketing/Sales and financial services to consulting firms to retail and CPG industries.Data scientist can also work for the government and NGOs.

4. Experience Factor

Data science is such a relatively new field that organizations are not able to find the experienced profile and its a great opportunities for IT professional from different domains and streams to up-skill and learn data science.According to an industry report,40% of data scientists have less than 5 years of experience, and 69% have less than 10 years of experience.
5. Lack of Competition And Ease Of Job Hunting
Not only is there a shortage of data scientists,but there is lack of competition as well since data science domain is relatively new field.A entry level data scientist and an expert level will have a experience gap of very few years.So here lies the great opportunity for career growth,
Data scientists are in high demand and there is shortage of skilled professional in the market So,Its relatively easy to search job in data science domain.
6. Variety of Training Options Available
There are many training options available for data science course in bangalore.There are different modes of training available like online ,Classroom ,Self paced video based training ,MOOCS for data science etc.
If you are looking for a full fledged data science certification course ,then you can go for data science post graduate and masters program.
Looking for data science Course Curriculum: Download Data Science Course pdf

Tuesday 9 January 2018

Benefits of Learning Python

Getting Python training in Bangalore and working with this programming language has its own set of benefits. First of all, its really easy to learn, and can be beneficial as a stepping stone for learning other coding languages such as C, C++, PERL, and many more. If you are a beginner programmer, and you haven’t worked with any programming language ever, this is great place to start. Once you learn Python from the Python training institutesin Bangalore, you will notice many opportunities to upgrade your skills, rather than being limited to one coding language.

Secondly, Python is a very popular coding language and is widely used as well. It is so popular that it is used by many tech giants including Instagram, Google, Yahoo!, Pinterest, Nokia, Disney, and IBM.

Her are some of the benefits of learning Python:

• It can be easily used to develop prototypes, while speeding up the creation process, being so easy to     read and use.
• It is great for certain general-purpose tasks including big data facilitation, and data mining.
• Developers of various levels of skill tend to be more productive and organized while working with       Python, as compared to other programming languages like Java and C#.
• Python language is easy to read and therefore can be used among large development teams and a        multi-programmer teams.
• Python is a complete and an open source programming language and is community-developed. The    community works continuously to make improvements upon the core functionality. This also offers    a  great way of networking with other developers around the world.