Top Data Science Certifications To Know About In 2020
Today all the companies are highly dependable on their data and they very much want to hire those professionals who can analyze this data, which will eventually contribute to the company’s growth. Hence, there is a searing hot demand for data scientist professionals. If you want to make a bright career in data science then pursing the certification is a must. As these certifications will develop your skills which are rarely found in the data science industry plus it will give you a competitive edge over the other professionals. Getting yourself certified validates that you possess the required skills which makes you an attractive hire for the company’s across the globe. So quickly check out the below mentioned top data science certifications that you can pursue to accelerate your career.
Top Data Science Certifications:
- Certified Analytics Professional (CAP)
- Cloudera Certified Associate : Data Analyst
- Cloudera Certified Professional: CCP Data Engineer
- Data Science Council of America (DASCA) Senior Data Scientist (SDS)
- Data Science Council of America (DASCA) Principle Data Scientist (PDS)
- Dell EMC Data Science Track
- Google Certified Professional Data Engineer
- Google Data and Machine Learning
- IBM Data Science Professional Certificate
- Microsoft MCSE: Data Management and Analytics
Let’s get into the details:
1. Certified Analytics Professional (CAP) :
This certification is vender-neutral and it makes one capable enough to transform the complex & complicated data into valuable insights and actions and this is what today businesses want as they expect the data scientist to analyze the data, provide logical inferences and then accordingly give an explanation to stakeholder that why these data points play a vital role. If you are at a beginner’s level then you can first pursue Associate level Certified Analytics Professional, post which you can move on to your CAP certification. This certification is valid for three years
2. Cloudera Certified Associate: Data Analyst :
This certification is recommended for those who are naïve in the field of data science & the one who doesn’t have potent portfolio or experience. Getting certified in CCA indicates that you possess strong basic knowledge as a developer, data analyst & administrator of Cloudera’s enterprise software. This certification will also assure the hiring companies that you have the hold on the basic skills which are required to become a data scientist. It is valid for two years.
3. Cloudera Certified Professional: CCP Data Engineer :
You can pursue CCP, post you have completed your CCA. CCP is one of the most in-demand certification and performance-based. The one who wants to pursue CCP should have good amount of experience in data engineering plus should be master in common data science skills. This exam includes case base problems and you will have to find the solution hands -on by using Cloudera Enterprise cluster. The total duration of exam is 4 hours and the minimum percentage required to pass the exam is 70%. This certification is valid for 3 years.
4. Data Science Council of America (DASCA) Senior Data Scientist (SDS) :
The one who brings in experience of 5+ years in research and analytics can pursue Data Science Council of America (DASCA) Senior Data Scientist (SDS) certification. It is suggested that the candidates should have knowledge on databases, spreadsheets, statistical analytics, SPSS/SAS, R, quantitative methods, basics of object oriented programming and RDBMS. This certification consists of 5 tracks and each track has different requirements in terms of degree, hands on experience & pre-requisites to apply. To be eligible for each track one should have bachelor’s degree in data science and related work experience of more than 5 years. This certification is valid for 5 years.
5. Data Science Council of America (DASCA) Principle Data Scientist (PDS) :
This certification consists of 4 tracks.
- Track 1: It is for Data Science Council of America (DASCA) alums, should have master’s degree and 10+ yrs. of experience in technology.
- Track 2: It is for those professionals who are working at DASCA –Partner Company, with an industry experience of 10+yrs. and a master’s degree.
- Track3: It is for those data professionals who are certified in SDS and who bring in 10+ yrs. of experiences in technology and 5+yrs. of experience in data engineering or analytics.
- Track 4 : In this one needs a master’s degree and 12+ yrs. of experience.
6. Dell EMC Data Science Track :
This certification consists of two programs i.e. Data Science Associate V2 and Data Science Specialist. Data Science Associate program covers the basics of data science and big data analytics and this course can be completed offline or online. Post you complete data science associate program, you can move on to data science specialist. This program covers NLP, advanced analytics methods, Hadoop, Pig, Hive, HBase & visualization method.
7. Google Certified Professional Data Engineer :
The one who brings in basic knowledge on Google’s cloud platform and experience in managing & designing solutions using GCP must go for Google Certified Professional Data Engineer certification. This certification validates one’s knowledge and skills in building, designing, securing & operationalizing data processing systems and ML models.
8. Google Data and Machine Learning :
This certification is categorized into 3 tracks i.e. Data Analysts, Data Engineers & Data Scientist.
- Data Analyst Track: This track places emphasis on collecting the insights from the GCP. The module is focused on the skills which are required for becoming an effective data analyst, business analyst or BI professional.
- Data Engineering Track: The module in this track covers the fundamentals of Machine Learning and Data Engineering.
- Data Scientist Track: The module in this track covers topics like Machine Learning, GCP, TensorFlow.
9. IBM Data Science Professional Certificate :
This certification can be completed online and it offers flexible schedule. This certification includes 9 courses i.e. Data science, Open source tools, Data science methodology, Python, Databases & SQL, Data analysis, Data visualization, Machine learning, Data science capstone. This course gives you hands-on project exposure which will build a strong portfolio that would eventually make you an attractive hire.
10. Microsoft MCSE: Data Management and Analytics :
This certification has huge variety of IT specialist and skills. Microsoft offers two courses for data science certification i.e. one course focuses on business applications & another that focuses on data management & analytics. Also first check the eligibility to apply for each course properly, as it may require prior certification under MCSE certification program.
Summary:
The list of certifications provided is not a very exhaustive one and of course there are more certifications available. However, these certifications will help you to achieve excellency in the field of data science. So if you are willing to move ahead in your career as a data scientist then without giving any second thought just enroll today for the certification. All the best!
Today all the companies are highly dependable on their data and they very much want to hire those professionals who can analyze this data, which will eventually contribute to the company’s growth. Hence, there is a searing hot demand for data scientist professionals. If you want to make a bright career in data science then pursing the certification is a must. As these certifications will develop your skills which are rarely found in the data science industry plus it will give you a competitive edge over the other professionals. Getting yourself certified validates that you possess the required skills which makes you an attractive hire for the company’s across the globe. So quickly check out the below mentioned top data science certifications that you can pursue to accelerate your career.
Top Data Science Certifications:
- Certified Analytics Professional (CAP)
- Cloudera Certified Associate : Data Analyst
- Cloudera Certified Professional: CCP Data Engineer
- Data Science Council of America (DASCA) Senior Data Scientist (SDS)
- Data Science Council of America (DASCA) Principle Data Scientist (PDS)
- Dell EMC Data Science Track
- Google Certified Professional Data Engineer
- Google Data and Machine Learning
- IBM Data Science Professional Certificate
- Microsoft MCSE: Data Management and Analytics
Let’s get into the details:
1. Certified Analytics Professional (CAP) :
This certification is vender-neutral and it makes one capable enough to transform the complex & complicated data into valuable insights and actions and this is what today businesses want as they expect the data scientist to analyze the data, provide logical inferences and then accordingly give an explanation to stakeholder that why these data points play a vital role. If you are at a beginner’s level then you can first pursue Associate level Certified Analytics Professional, post which you can move on to your CAP certification. This certification is valid for three years
2. Cloudera Certified Associate: Data Analyst :
This certification is recommended for those who are naïve in the field of data science & the one who doesn’t have potent portfolio or experience. Getting certified in CCA indicates that you possess strong basic knowledge as a developer, data analyst & administrator of Cloudera’s enterprise software. This certification will also assure the hiring companies that you have the hold on the basic skills which are required to become a data scientist. It is valid for two years.
3. Cloudera Certified Professional: CCP Data Engineer :
You can pursue CCP, post you have completed your CCA. CCP is one of the most in-demand certification and performance-based. The one who wants to pursue CCP should have good amount of experience in data engineering plus should be master in common data science skills. This exam includes case base problems and you will have to find the solution hands -on by using Cloudera Enterprise cluster. The total duration of exam is 4 hours and the minimum percentage required to pass the exam is 70%. This certification is valid for 3 years.
4. Data Science Council of America (DASCA) Senior Data Scientist (SDS) :
The one who brings in experience of 5+ years in research and analytics can pursue Data Science Council of America (DASCA) Senior Data Scientist (SDS) certification. It is suggested that the candidates should have knowledge on databases, spreadsheets, statistical analytics, SPSS/SAS, R, quantitative methods, basics of object oriented programming and RDBMS. This certification consists of 5 tracks and each track has different requirements in terms of degree, hands on experience & pre-requisites to apply. To be eligible for each track one should have bachelor’s degree in data science and related work experience of more than 5 years. This certification is valid for 5 years.
5. Data Science Council of America (DASCA) Principle Data Scientist (PDS) :
This certification consists of 4 tracks.
- Track 1: It is for Data Science Council of America (DASCA) alums, should have master’s degree and 10+ yrs. of experience in technology.
- Track 2: It is for those professionals who are working at DASCA –Partner Company, with an industry experience of 10+yrs. and a master’s degree.
- Track3: It is for those data professionals who are certified in SDS and who bring in 10+ yrs. of experiences in technology and 5+yrs. of experience in data engineering or analytics.
- Track 4 : In this one needs a master’s degree and 12+ yrs. of experience.
6. Dell EMC Data Science Track :
This certification consists of two programs i.e. Data Science Associate V2 and Data Science Specialist. Data Science Associate program covers the basics of data science and big data analytics and this course can be completed offline or online. Post you complete data science associate program, you can move on to data science specialist. This program covers NLP, advanced analytics methods, Hadoop, Pig, Hive, HBase & visualization method.
7. Google Certified Professional Data Engineer :
The one who brings in basic knowledge on Google’s cloud platform and experience in managing & designing solutions using GCP must go for Google Certified Professional Data Engineer certification. This certification validates one’s knowledge and skills in building, designing, securing & operationalizing data processing systems and ML models.
8. Google Data and Machine Learning :
This certification is categorized into 3 tracks i.e. Data Analysts, Data Engineers & Data Scientist.
- Data Analyst Track: This track places emphasis on collecting the insights from the GCP. The module is focused on the skills which are required for becoming an effective data analyst, business analyst or BI professional.
- Data Engineering Track: The module in this track covers the fundamentals of Machine Learning and Data Engineering.
- Data Scientist Track: The module in this track covers topics like Machine Learning, GCP, TensorFlow.
9. IBM Data Science Professional Certificate :
This certification can be completed online and it offers flexible schedule. This certification includes 9 courses i.e. Data science, Open source tools, Data science methodology, Python, Databases & SQL, Data analysis, Data visualization, Machine learning, Data science capstone. This course gives you hands-on project exposure which will build a strong portfolio that would eventually make you an attractive hire.
10. Microsoft MCSE: Data Management and Analytics :
This certification has huge variety of IT specialist and skills. Microsoft offers two courses for data science certification i.e. one course focuses on business applications & another that focuses on data management & analytics. Also first check the eligibility to apply for each course properly, as it may require prior certification under MCSE certification program.
Summary:
The list of certifications provided is not a very exhaustive one and of course there are more certifications available. However, these certifications will help you to achieve excellency in the field of data science. So if you are willing to move ahead in your career as a data scientist then without giving any second thought just enroll today for the certification. All the best!
