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Category - Data & Analytics

Data and analytics certifications for professionals who work with data

From Google Data Analytics as a free entry point to SnowPro Core for Snowflake specialists - 7 certifications compared by real salary uplift, hiring demand and career path.

7
Certs covered
$158k
Top cert salary
90%
Google Analytics pass rate
Compare all certifications 
Certification
pass rate
Difficulty
Prep time
Exam cost
Salary uplift
Best for
Readiness Test for
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CompTIA Data+
CompTIA
76%
5 w $338 +42% Data analysts & BI professionals Check Data+ Readiness Explore →
🔥
Big Data Engineer
Independent
65%
12 w $500 +38% Big data platform & pipeline engineers Check Big Data Eng Readiness Explore →
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Power BI Data Analyst ★ Top pick
Microsoft
74%
6 w $165 +42% Business intelligence & data visualisation Check PL-300 Readiness Explore →
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Google Data Analytics
Google
90%
3 w Free +36% Entry-level data analysts & career switchers Check GDA Readiness Explore →
❄️
SnowPro Core
Snowflake
72%
6 w $175 +37% Snowflake data warehouse specialists Check COF-C02 Readiness Explore →
🤖
Big Data Scientist
Independent
60%
16 w $600 +37% ML practitioners & data science leads Check Big Data Sci Readiness Explore →
🗄️
CompTIA DataSys+
CompTIA
73%
7 w $338 +40% Database administration & data systems Check DataSys+ Readiness Explore →
Career path sequences 
Data Analyst BI Lead
Business intelligence and reporting. Power BI is the dominant tool.
Google Data Analytics Data+ PL-300
Data Engineer Architect
Data platforms and pipelines. Snowflake is the enterprise standard.
DataSys+ SnowPro Core Big Data Engineer
Analyst Data Scientist
Advanced analytics and ML. The highest-comp data career path.
Google Data Analytics PL-300 Big Data Scientist
Salary impact by certification 
Median salary before vs after certification - US market
CompTIA Data+
$62k
$88k
+42%
Big Data Engineer
$105k
$145k
+38%
Power BI Data Analyst
$72k
$102k
+42%
Google Data Analytics
$50k
$68k
+36%
SnowPro Core
$95k
$130k
+37%
Big Data Scientist
$115k
$158k
+37%
Is this category right for your goals? 
✅ You should certify in data if…
You work with data in Excel or basic BI tools and want to formalise your skills
You're in business analysis, finance or operations and want data credentials
You're a developer wanting to add data engineering to your skill set
You want to move into ML or AI from a data analyst background
⚠️ Consider alternatives if…
You have no SQL or Python background - learn these first before certifying
Your primary goal is cloud architecture - AWS/Azure certs may have higher direct ROI
You're targeting pure software engineering roles - development certs are more relevant
Explore our top-rated prep 
Frequently asked questions 
Google Data Analytics Certificate is the best entry point - it is free through Coursera's financial aid option, takes 3–6 months, and is designed specifically for people with no data background. CompTIA Data+ is the best vendor-neutral paid credential for beginners, covering data literacy, analysis and governance across tools. Both are recognised by employers and provide a solid foundation before specialising.
Yes - Power BI PL-300 is the most commercially relevant BI certification for professionals who work in Microsoft environments. Power BI has the highest adoption of any BI tool in enterprise settings, and PL-300 holders earn a median of $102,000. The exam is relatively accessible (difficulty 2/5) and preparation takes 4–6 weeks.
SnowPro Core is Snowflake's foundational certification for professionals who administer, query and maintain Snowflake data warehouses. Snowflake has become the dominant cloud data platform in enterprise settings, and demand for certified Snowflake professionals is outpacing supply. It is most valuable if your organisation uses Snowflake or your target employer requires it.
CompTIA Data+ (DA0-001) is for data analysts - it covers data literacy, analysis techniques, reporting and data visualisation. CompTIA DataSys+ is for data systems administrators - it covers database management, data governance and data infrastructure. Get Data+ if you want to analyse data and build reports. Get DataSys+ if you want to manage the systems that store and process data.

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