A career in data analytics requires command over a lot of skills and if you are aiming for that career you must acquire mastery over all of them.
But how ? Don’t worry, here is your answer:
Study the market and try to recognize what the industry wants from a data analytics professional
Acquiring all the skills is easier said than done. More importantly, acquiring all the skills under the sun is difficult if not impossible when it comes to Data analytics. The field is vast and the tools are endless. It will require time and experience. That is why at the initial stage you must assess what the industry demands right now. You can go through the buzzing online data analytics communities and also check the skill requirement listed on the job portals by leading companies. The institution where you will be pursuing the certification or diploma course will also play a crucial role in this regard.
Below is a list of important skills for budding data analysts right now:
- SQL or Structured Query Language- The industry standard when it comes to managing enormous databases.
- Python- The programming language which every company from industry leaders to startups prefers.
- Creating interactive data visualizations through the use of tools like Tableau or SAS or through Python libraries.
- A good understanding of Machine Learning Algorithms.
Apart from the above technical skills, you should also develop some general skills like:
- Ability to visualize concept data sets and devise strategies to leverage humongous data.
- A flair for solving challenging problems in a creative way.
- Developing curiosity to solve complex data puzzles.
The institution is bound to play a crucial role!
A determining factor in your skill development will be the quality of the institution you are opting for becoming a certified data analyst. The institution should not only take care of imparting all the above skills but also groom you in a manner that you stand out among the job seekers in this field. Obviously, there are a lot of good jobs to grab in the analytics and data science industry. However, the positions lie vacant not because there is a dearth of applicants but because there is a lack of employable candidates. Thus, a certificate or diploma course from any institution is not going to be enough, the institution should be able to make you ready with all the available skills and ace the job interviews.
How to decide on that perfect institution for you?
There are a number of institutions offering both online and offline training courses in data analytics nowadays. Before deciding on any institution you must have a quick look at the reviews from existing and previous students as well as browse through various feedback forums which exist.
A quick search for reviews on a reputed institute like analytixlab will reveal their true prowess. Analytixlab also has a number of branches across India and a search on analytixlabs gurgaon feedback or feedback on the Bangalore branch of analytixlab will provide you a closer look into the premier institution.
Big Data Analytics has brought a paradigm shift in the business realm.
New-age companies understand the need for gaining invaluable insights about their business through the application of Big Data.
And this is why Hadoop and Spark have emerged as reliable solutions for processing Big Data.
There are a number of supporters for both and the expert Big Data Analytics Companies decide amongst the two based on the various factors and after knowing the requirements from the businesses looking for a solution.Read More: Hadoop vs Spark: Which is a better framework to select for processing Big Data?
The global data preparation tools market size is anticipated to reach USD 8.47 billion by 2025, according to a new report by Grand View Research, Inc., exhibiting a CAGR of 25.1% over the forecast period.
Data preparation tools can help organizations augment their efficiency by ensuring easy access to data.
Increasing demand for data analytics, particularly in IT and retail sectors, is expected to drive demand for data preparation tools.The growth of the data preparation tools market can be attributed particularly to capabilities of self-service data preparation tools to ensure easy interchangeability, collaboration, and profiling of data.
These tools can also address concerns associated with safety of the data.
Demand for self-service data preparation tools will continue to increase as data analytics companies continue to demand efficient solutions to access and analyze large volumes of data.On-premise deployment of data preparation tools accounted for the largest revenue share in 2016 as organizations prefer to adopt conventional data collection and preparation techniques.
However, demand for deployment of data preparation tools over the cloud is expected to grow over the forecast period, as cloud deployment can ensure easy access to data via virtual sources.Data preparation tools help enterprises collect, analyze, and standardize data.
The exponential growth of global data that started a decade ago is not going to show any signs of slowing down anytime soon.
Instead of slowing down, it gets increased further through the internet, media files, text messages, social networks, and online searches.
The IoT sensors and devices further add to this share of data, making the Future of Big data something to look forward to.With the world being powered by big data right now, it is making the companies more reliant on the Big Data Experts, with the ability to make the best use of the potential of data processing.With the data volumes reaching unforeseen heights, what does the Future of Big data look like?
Read on to know what Way2Smile's experts have to say about the Future predictions of Big Data.Learn more at Big Data Predictions for 2020-2025.
Big Data Analytics is a growing field, and many companies are interested in it.
Businesses have understood that they are wasting a golden opportunity by not collecting and analyzing the data they receive from their customers and visitors using Big Data.
It is not just that Big Data as a technology is trend, there are various trends in Big Data as well that are doing the rounds and catering the best piece of the cake to the businesses based on various industries.The growth of big data market is expected to be phenomenal, and according to a report by Frost and Sullivan, the data analytics market is expected to grow at a CAGR of 29% to $40 billion by 2023.This explosive growth has prompted many Big Data Analytics Firms to come up with great solutions.
Having a leading company providing the best Big Data Services to solve your issues and to gain the immense benefits that big data analytics offers can help your business go a long way.Before you dive into the exciting world of Big Data, it is essential to know some basics.Types of Big Data AnalyticsDescriptive AnalyticsDescriptive analytics deals with summarizing raw data and converting it into a form that is easily digestible.
Also, by using descriptive analytics, one can easily infer in detail about an event that has occurred in the past and derives a pattern out of this data.One of the most crucial data analytics, descriptive data analytics helps in revealing critical information about a business.
It is impossible to create ideal Business Intelligence tools and dashboards without conducting robust descriptive analytics.Descriptive analytics helps in addressing some fundamental questions of data analytics (4Ws One H).
