The DASCA Big Data Analytics Certifications are the top-billed credentials internationally for today’s market researchers, business graduates, and marketers aspiring to enter or accelerate their growth in the highly lucrative Big Data analytics profession.
DASCA offers two of the most prestigious international credentials for Data Scientists today. Ideal for senior professionals already working as Big Data Analysts, these credentials are also great career-shaper qualifications for experienced and accomplished market researchers and marketing experts.
Founded on the world's first, most robust generic Data Science knowledge framework – the DASCA-EKF™ – DASCA Certifications validate and test credential–holders in over 30 profession–critical knowledge vectors along the five DASCA-EKF™ knowledge–essentials prongs. Nothing else adds a bigger, most international edge to the employability of professionals for this flagship industry that needs 7 million workers in 2022 alone.
Because getting the finest Data Science jobs, or growing in Big Data career today requires assuring employers about your capabilities, promise, and potential of being a super professional. And nothing can do this job better than your DASCA Credential! DASCA tests individuals along the world's most robust generic Data Science knowledge framework – the DASCA-EKF™ to validate their knowledge in 30 profession–critical dimensions, before awarding its certification. And that's how an ABDA™, ABDE™, SBDA™, SBDE™, SDS™, and PDS™ can lend the sharpest competitive edge to your employability and growth.
DASCA Certifications for Big Data Engineers, Big Data Analysts, and Data Scientists are the world's most powerful independent professional credentials today. Founded on the first platform-independent and the most robust Data Science knowledge standards-framework currently in practice internationally, these credentials validate most convincingly for your employers that your education, training, and knowledge make you a high-potential Data Scientist, Analyst, Engineer, or Developer.
Now race away easy to your favorite DASCA Credential if you already have a qualification from a DASCA-recognized institution in:
You can acquire a DASCA Big Data Analyst and Big Data Engineer Certifications faster, easier, and more affordably.Discover More
Joining the league of the world's finest Big Data Analysts/Engineers or Data Scientists starts with knowing what you should certainly know!
We've got six international certification programs along three credential–tracks for the hottest of professions today–Big Data Analysts; Big Data Engineers; and Data Scientists. Go ahead and find out which of these work best for you.
"Eager to tame and harness Big Data, the Data Science space is expanding like our universe is, only a little more ferociously. And this keeps blurring the boundaries among the various jobs and professions in the space all the time. Via the DASCA-EKF™, we're trying to fix perhaps the most irritating of the gaps that passionate and sincere Data Science professionals and the quality–fussy recruiters, both experience. – What all should Data Science geeks really know to keep excelling in their jobs and roles? What has really brought big smiles on Big Data experts connected to DASCA is the fact that we've kept the framework smartly generic."
All individuals who pass the exams and pre-requisites for DASCA Big Data Analyst; Big Data Engineer; and Data Scientist Certifications are awarded their certificates in exclusively designed credential cases. These cases contain printed certificates, designation pins, and copies of the Code of Ethics booklets – designed to forever make you feel proud of holding a well-earned DASCA Credential.
IMPORTANT: The design and contents of these kits can change without notice.
DASCA Credentials come digitally-badged, just as the qualifications and certifications of most other great institutions do. Ensuring you can spread a word out about your achievement swift on the internet, and showcase your DASCA Credential on your digital profiles everywhere – all in real time, simultaneously, anywhere, anytime!
The world has become digital, and it’s only logical that the world’s finest Data Science Certifications should also have the digital stamp on them. After all, the quality of our presence in the virtual space will define how effectively we'll grow in the Data Science profession and create an impact on employers. Digital badging is the best, fastest, and the most impressive way to showcase digitally, your credentials, your accomplishments, your interests, your passions, your skills on the web. Your online presence adds that strong dash of credibility for your Data Science capabilities. You can earn digital credentials and nanodegrees through digital learning from institutions who’ve embraced digital badging. It's a spanking new way to learn toward, earn, and brandish the special in you. DASCA joins the select few institutions including a few ivy-league ones who are now on a digital badging platform.
To know more about this, write into us.
Choose Here the Credential that Suits you Best!
According to a survey conducted by IBM, there will be an increase in job openings by 364,000 to 2,720,000 openings in the year 2020. Furthermore, the unstoppable rise in demand for data scientists will reach approximately 700,000 openings in the same year.
Jobs in Data Science are currently reigning the market such that Glassdoor has declared it to be the number 1 job on its website. Furthermore, the data science openings are open for 45 days, which is five days more than the regular job market!
Finance and professional services are the main demand zones for data scientists. The demand in these fields is 59% of the total demand for data scientists, which is the highest among all the industrial sectors. The Finance Sector accounts for 19% of the openings whereas professional services account for 18% and IT sector holds 17% of the total.
The demand for data scientists and advanced analysts will skyrocket in the year 2022, with a projected demand spike of 28%. Considering the rarity of ‘pure’ data scientists, industries are paying premium salaries to those who have the right expertise.
Data Science is a huge field. You can be a Data Analyst if you have a non-technology background in mathematics, statistics or quant. You can be a data engineer if you are a technology major with a background in programming and coding.
A strong educational background is needed for developing and absorbing the cross-disciplinary knowledge that Data Science professionals need. A bachelor’s degree in computer science, statistics, mathematics, engineering or related fields will do the job for you.
Get a vendor-neutral, cross-platform, third party certification in Big Data Analytics or Big Data Engineering (your choice!) from an internationally respected body.
If you want to stand out, get a serious certification from a proper standards and certification body. Certificates from online training companies are very common and everybody seems to have them, so employers do not respect them. They work only if you just want to have some knowledge. But if you want to make a career in data science, you need a credible, respected qualification.
Knowing R programming is essential because R is cut out for statistical analysis done in data science. Learning R becomes easier if one knows SPSS. Good certification programs like ABDA™/SBDA™/ABDE™/SBDE™ include this in their curricula.
Python is the most common coding language deployed in data science, though Java, Perl, and C/C++, too have wide circulation, no doubt. Similarly, SQL is important, though NoSQL is doing the rounds these days. Good certification programs like ABDA™/SBDA™/ABDE™/SBDE™ include this in their curricula.
Knowing Hadoop, Apache Spark, Hive, Pig and cloud technologies is a strong must because data scientists must know the tools of sharing vast amounts of streaming data, and also techniques of data exploration, data filtration, data sampling, summarization and data visualization. Good certification programs like ABDA™/SBDA™/ABDE™/SBDE™ include this in their curricula.
Knowing AI, Neural networks, supervised machine learning, decision trees, logistic regression, reinforcement learning, natural language processing, outlier detection, computer vision, recommendation engines, survival analysis and others enhances attractiveness for the most challenging Data Science jobs. Good certification programs like ABDA™/SBDA™/ABDE™/SBDE™ include this in their curricula.
Data Scientists must be able to visualize data using data visualization tools such as ggplot, d3.js and Matplottlib, and Tableau. Good certification programs like ABDA™/SBDA™/ABDE™/SBDE™ include this in their curricula.
Remember, data science has numerous types of jobs and roles, and newer ones keep getting added as technologies evolve. Data Scientist/Data Architect/Chief Data Officer and others are positions considered to be the most senior ones today. The following are the typical four types of Data Science jobs one may want to pick from:
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