12 Do's and Don'ts for a Successful data analytics courses london

[Neal Nelia]

Students in the first year of their college experiences often have very little idea as to what career they want to choose. This can be frustrating if there isn't enough clarity available to students to make informed choices. One particular area where students often seek clarity is when trying to understand the difference between software development and data analyst as career choices. The confusion often arises from the fact that there is an overlap with regards to programming skills. Listed below are some of the key differences between Software development and Data Analytics:

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1. Scope - Software development as a service creates software for a firm whereas data analysis is more academic in nature with the goal to answer questions based on data collected from the field. As a matter of fact both these skills can be applied to different facets of a similar problem. Consider the case where there may be a need to automate certain tasks in a certain process in an organisation. In such a scenario, software developers would be brought in to create the relevant tool to accomplish the goals however, data about the existing usage can help point out the urgency around each of the tasks that need to be automated and point out the efficiencies that may be achieved for each task. With the combination of these skills and information, firms can prioritise their transition to automation.

2. Methodology - Software development models have been designed and pretty static in the execution. For data analysts, methodologies are often experimental and change frequently depending on the scope of the hypothesis. These methodologies are often used by economists and mathematicians. These have been brought into the field of data analytics.

3. Skills - This is the area which creates most doubts among young students. The technical skills required for these professions have quite a significant overlap. Although both require specialised training for certain aspects. For example, a software developer would need a specialise expertise on design elements like UI design and database schema layout. For data analytics professional would be more focussed on creating test cases for the 'hypothesis' being examined, which would require understanding of database querying at most.

To conclude, it would be fair to say that software development is the profession to create software from scratch, whereas in the profile of a data analyst, a software tool like SAS or Audit Command Language Software in often used to create analytical reports. Data analytics wouldn't exists as a profession without software development which has enabled the creation of the software tools which allow replication or creation of mathematical models to perform analytics.

INTRODUCTION

Big data analytics is steadily becoming the crux of every successful enterprise. As the world becomes progressively data driven, organizations in various sectors have now begun to rely on professionals in order to improve and speed up business decisions to strengthen the business. This has further led to an increase in the demand for these magicians.

If you want to give your career an edge over the others in the ongoing competition, getting Certification is an excellent option.

ADVANTAGES OF CERTIFICATION TO INDIVIDUALS

1. BETTER OPPORTUNITIES

Getting Certification gives you an edge over the other data experts because you have the potential to effectively and efficiently handle the vast amount of data on a daily basis. Hence, you stand a better chance of getting an interview call.

2. CAREER ADVANCEMENTS

Getting Certification can lead to a major change in your career and may help you reach greater heights professionally. LEARNING AND ANALYSIS leads to immediate and long-term gain and helps an individual to advance his career from a traditional job to that of a futuristic data scientist.

3. UNIVERSAL APPLICABILITY

The applicability of data analytics is not confined to a particular sector. Nowadays each and every sector is looking forward to applying the advantages of ANALYSIS to its data with the help of the big data magicians. There are a variety of opportunities available for big data professionals across various sectors.

4. PROVIDES Browse around this site EXPERIENCE

The certification training provides the individual hands-on understanding of dealing with big data which, in turn, provides a path for them towards the big data journey.

ADVANTAGES OF CERTIFICATION IN BUSINESS

1. HELPS TO IMPROVE THE INTERNAL WORKING OF THE ORGANIZATION

Any malfunction within the organization can be instantly reviewed with the help of big data analysts which may help the organization to shut down the operations which are not profitable or to improve them to make them profitable.

2. HELPS TO KNOW ABOUT THE STRATEGIES OF COMPETITORS

The analysis helps the organization to know about the competitor's new strategies instantly. This can further help an organization in staying one step ahead of the competition by changing its strategy in return.

3. COST REDUCTION

The analysis helps the organization in reducing the costs of storing a large amount of data. In short, It is cost effective and also helps the business in running more efficiently.

4. BETTER DECISION MAKING

The speed of tools like Hadoop, Python etc. combined with the expertise of professionals speeds up the process of decision making. It helps the organization to make good decisions as fast as possible by analyzing the information available.

PROMINENT CERTIFICATIONS

1. Hadoop Architect

2. Data Scientist

3. Hadoop and Spark Developer

4. Hadoop Administrator