what certifications do i need to be a data scientist

Some of the best data scientific discipline certification programs worth considering

Photograph by Lewis Keegan — Skillscouter.com on Unsplash

The growing popularity of MOOCs is an undeniable fact. In that location is evidence of a growing number of corporates using MOOCs for workforce grooming development. To my belief (and the recruiters I've met), online certifications are an testify of your abilities across textbook knowledge on a standard reference platform.

Learners take reward of MOOCs out of personal interest or enhancing their job prospects and skill fix. The primary goal, however, remains to gain credibility or relevance with skills in current times.

"How are courses and certificates viewed by potential employers?"
In my share of discussing this with the recruiters, I've had a chance to, the bottom line is: certifications put you on a common ground where your performance and skills laud for y'all. Certifications exhibit the extra mile you went for honing your skills.

Why take up online certifications?

  1. Boast almost your skills on resume or portfolio
  2. Get a better shot at chore prospects
  3. Leverage access to additional services — career service, hiring labs, reviews
  4. Brand a transition in career pathways

Having said that, let'south take a expect at the superlative ix online certifications that you can consummate for Data Science this year!

i. IBM Information Science Professional Certification

Duration — three months (flexible)
Level — Beginner
Platform — Coursera

You go: Certificates and digital bluecoat

Image Source: Coursera

Having completed this certification, I tin can assure y'all that this 1 is the all-time beginner-level data science certification program for enthusiasts looking to kickstart their professional data science career.

From explaining what information science is and why is information technology so popular to making the learners do a capstone with APIs integration — I highly recommend taking upwardly this 9-course challenge!

Courses

  1. What is Data Science?
  2. Open Source tools for Data Science
  3. Data Scientific discipline Methodology
  4. Python for Data Science and AI
  5. Databases and SQL for Data Science
  6. Data Assay with Python
  7. Data Visualization with Python
  8. Machine Learning with Python
  9. Practical Data Science Capstone

The certification requires no pre-requisites. Nevertheless, if y'all wish a better grasp of learning, I'd suggest completing a crash course on Python beforehand. Past form 6, you will start building projects from scratch, making this a perfect style to get some fancy projects on your resumes!

Admission the certification: Link

2. Tableau Information Scientist | Desktop Specialist

Duration — 3 months (flexible)
Level — Beginner
Platform — Tableau east-learning
Cost — FREE

You lot get: Digital role badge

Image Source: Tableau Official Website

Tableau is offering discounts on many of its certifications but this one — Data Scientist Learning Path is for Gratis. A sister certification is Tableau Data Analyst.

The Tableau Data Scientist path includes —

  1. Getting Started with Tableau Desktop
  2. Desktop I: Fundamentals
  3. Desktop II: Intermediate
  4. Desktop Three: Advanced
  5. Data Prep
  6. Visual Analytics
  7. Data Scientific discipline with Tableau
  8. Information Scientist Skills Assessment

Tableau offers three major paid certifications —

  1. Desktop Certified Associate ($600)
  2. Desktop Certified Professional ($250)
  3. Server Certified Associate ($250)

Access the certification: Link

Tableau Desktop Specialist

Paradigm Source: Tableau Official Website

This exam is for those who accept bones, foundational skills and understanding of Tableau Desktop and at least three months of applying an understanding, and experience with Tableau.

Fee =$50 through June 30, 2020 ($100 after June 30)
Fourth dimension Limit: sixty minutes
Question Format: Multiple selection, multiple response
Number of Questions: xxx
Passing score: 70%

Skills measured

  1. Exploring and preparing information
  2. Exploring & Analyzing Information
  3. Sharing insights
  4. Understanding Tableau Concepts
  5. Timeliness

3. HarvardX'south Data Science Professional person Certificate

Duration — ane year v months (flexible)
Level — Beginner
Platform — edX
Toll = $441

Epitome Source: edX

Harvard University partnered with edX has a Data Science Certification that covers cardinal R programming skills, statistical concepts such as probability, inference, and modeling, experience with packages every bit tidyverse, ggplot2, and dplyr.

The all-time part nearly this certification is the course touching base on essential tools for practicing data scientists such equally Unix/Linux, Git and GitHub, and RStudio

Some other crest for this certification is its realism — the courses introduce the learners to motivating real-world case studies in the likes of —

  1. Trends in Earth Health and Economics
  2. US Crime Rates
  3. The Financial Crunch of 2007–2008
  4. Election Forecasting
  5. Building a Baseball game Team (inspired by Moneyball)
  6. Movie Recommendation Systems.

Courses

  1. Data Science: R Basics
  2. Data Scientific discipline: Visualization
  3. Data Science: Probability
  4. Information Science: Inference and Modeling
  5. Information Science: Productivity Tools
  6. Data Science: Wrangling
  7. Data Science: Linear Regression
  8. Data Scientific discipline: Motorcar Learning
  9. Data Scientific discipline: Capstone

Admission the certification: Link

4. Business Analytics Specialization

Platform — Coursera
Level — Beginner
Duration — 6 months (iii 60 minutes/calendar week)

Epitome Source: Coursera

The Concern Analytics Specialization is hosted on Coursera developed with Wharton Schoolhouse of the University of Pennsylvania. It provides a expert foundational introduction to big data analytics beyond business professions such as marketing, man resources, operations and finance. The courses require NO prior analytics experience.

A stats on the website says 46% of learners started a new career later completing this specialization and 21% of learners got a pay increase or promotion.

Having audited the form and completing it, I tin can say information technology surely develops a sense of how nosotros as data analysts should and can describe, predict, and inform business organisation decisions in specific business areas. I am sure, later completing the specialization, any learner volition develop an analytic mindset to help make ameliorate strategic decisions based on data, than having done before.

Courses

  1. Client Analytics
  2. People Analytics
  3. Accounting Analytics
  4. Operations Analytics
  5. Concern Analytics Capstone

The capstone requires learners to combine knowledge from the 4 courses and encourages to make data-driven decisions for real business challenges faced by global technology giants as Google, Facebook and Yahoo.

Access the certification: Link

5. Advanced Concern Analytics Specialization

Platform — Coursera
Level — Intermediate
Duration — 5 months (3 60 minutes/week)

Image Source: Coursera

The Advanced Business Analytics Specialization is hosted on Coursera adult with the University of Colorado, Boulder. The specialization merges the thin line betwixt academia and business-world to combine learnings from experienced practitioners from both domains to share existent-globe information analytics skills to the learners.

A stats on the website says 50% of learners started a new career afterwards completing this specialization! That'south something we are talking well-nigh!

Over again, after completing this specialization, I am affirmed that I can now meliorate draft and recognize the maximum value for shareholders. The course walked me through a thorough experience in data extraction and manipulation using SQL and to leverage statistical techniques for descriptive, predictive, and prescriptive analytics for different business domains. More importantly, the grade effectively teaches how to translate and present analytic results for an efficient decision making.

Courses

  • Advanced business analytics capstone
  • Business analytics for determination making
  • Communicating business analytics results
  • Introduction to data analytics for business
  • Predictive modeling and analytics

Admission the certification: Link

six. Amazon AWS Big Information Certification

Duration — 170 minutes to complete the exam
Level — Avant-garde
Platform — AWS
Cost — $300
Type — Multiple choice, multiple answer

Image Source: AWS Official Website

One of the other tough certifications, AWS Big Information Certification requires test takers to hold either of these certifications

  1. AWS Certified Cloud Practitioner
  2. AWS Certified Solutions Builder — Associate
  3. AWS Certified Programmer — Associate
  4. AWS Certified SysOps Administrator — Acquaintance

The test requires a minimum of five years of easily-on experience in a data analytics field (not an easy claiming for college grads!)

Skills Measured

  1. Functionalize core AWS Big Data services
  2. Design and maintain Big Data with AWS
  3. Leverage tools to automate data analytics in AWS

Access the Certification: Link

7. SAS Academy for Data Scientific discipline

Duration — Few months to several years
Cost — $250
Level — Advanced
Platform — SAS Academy for Data Science

Image Source: SAS Academy for Data Science

The SAS Academy for Data Scientific discipline is one of the prestigious platforms to learn SAS for Information Science. It offers courses in information curation, advanced analytics, AI, and machine learning to accelerate your career in data. Mind you, SAS itself is a catchy horizon to explore for beginners. If you lot are gear up to have upward one of the below examinations, brand sure y'all are in consummate knowledge of the prerequisites.

There are three basic pathways in SAS Academy

  1. Information curation Professional (4 courses | 1 test| 5 badges | $1295/twelvemonth)
  2. Advanced Analytics (ix courses | 3 exams | 7 badges | $1295/yr)
  3. AI and Machine Learning (v courses | 3 exams | vii badges | $1295/twelvemonth)

SAS Academy focuses on concepts of —

  1. Accessing, manipulating, and transforming data
  2. Basics of analytics and statistics
  3. Enhancing data quality for analytics and reporting
  4. Exploring and visualizing information
  5. Hadoop, Hive, Pig, and SAS
  6. Motorcar learning
  7. Optimization techniques
  8. Blueprint detection
  9. Predictive modeling techniques and their applications
  10. Time series forecasting

Access the certifications: Link

eight. MCSE: Data Management and Analytics

Duration — 180 minutes exam
Level — Advanced
Platform — Microsoft
Toll —$165
Total Questions — 45 to 55
Type — Single and multi-choice questions

With Microsoft Certified Solutions Adept (MCSE), yous tin can demonstrate broad skillsets in database administration, SQL, building enterprise-scale information solutions, and leveraging concern intelligence data.

What will you learn?

  1. BI Reporting
  2. Data Technology with Azure
  3. Machine Learning
  4. SQL 2016 BI Development
  5. SQL 2016 Database Assistants
  6. SQL 2016 Database Evolution
  7. SQL Server 2012/2014

There are three steps to secure this certification

  1. Work with SQL Server 2012/2014/2016 Database Administration and earn Microsoft Certified Solutions Associate for SQL Server.
    Gain knowledge virtually Database Development, BI Development, Machine Learning, BI Reporting or Information Engineering with Azure
  2. Pass one required exam.
    The certification portal contains exam prep resource also
  3. Earn your certification

Access the certification: Link

nine. Microsoft Certified Azure Data Scientist Associate

Duration — 180 minutes test
Level — Advanced
Platform — Microsoft

Price — $165
Total Questions — 51
Blazon — Unmarried and multi-choice questions (~l% questions from ML studio, xl% from ML service & 10% generic data science questions.)

Past far the most tenuous certification I've come up across and therefore the concluding on my list, the Microsoft Azure Data Scientist Certification is aimed for learners who wants to apply their information science and machine learning noesis to implement and run machine learning models on Azure.

The skilful role about this certification is that you complete the test with deploying a model equally a service. What amend than a product-ready project!?

The path is uncomplicated: Take one examination and earn the certificate

Skills Measured

  1. Set upwards an Azure Machine Learning workspace (30–35%)
  2. Run experiments and train models in Azure (25–30%)
  3. Optimize and manage Azure built models (20–25%)
  4. Deploy and swallow the production-ready models (twenty–25%)

Source: K21 Academy

Access the certification: Link

That's it from my end for this blog. Thank you for reading! I hope you lot enjoyed the article. Do let me know what certification are you lot looking forward to learning or exploring in your Data Science journey this summer?

Happy Data Tenting!

Disclaimer: The views expressed in this commodity are my own and do non represent a strict outlook.

Know your writer

Rashi is a graduate educatee at the University of Illinois, Chicago. She loves to visualize information and create insightful stories. When not rushing to meet school deadlines, she adores writing most technology, UX, and more than with a adept loving cup of hot chocolate.

scottardn1969.blogspot.com

Source: https://towardsdatascience.com/top-9-data-science-certifications-in-2020-40b0192ade43

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