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November 29, 2023
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Launch Your Career in Data Science. Master strategies to implement Data Science techniques in order to solve business problems.
Instructors: Sarah Haq
4,928 already enrolled
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(51 reviews)
Recommended experience
Intermediate level
The typical learner will have several years of experience with computing technology, including some aptitude in computer programming.
(51 reviews)
Recommended experience
Intermediate level
The typical learner will have several years of experience with computing technology, including some aptitude in computer programming.
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The field of Data Science has topped the Linked In Emerging Jobs list for the last 3 years with a projected growth of 28% annually and the World Economic Forum lists Data Analytics and Scientists as the top emerging job for 2022.
Data can reveal insights and inform business—by guiding decisions and influencing day-to-day operations. This specialization will teach learners how to analyze, understand, manipulate, and present data within an effective and repeatable process framework and will enable you to bring value to the business by putting data science concepts into practice.
This course is designed for business professionals that want to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.
Certified Data Science Practitioner (CDSP) will prepare learners for the CertNexus CDSP certification exam.
To complete your journey to the CDSP Certification
Complete the Coursera Certified Data Science Practitioner Professional Certificate.
Review the current version of the CDSP Exam Blueprint, available at CertNexus
Purchase your CDSP Exam Voucher at the CertNexus store
Register for your CDSP Exam.
Applied Learning Project
At the conclusion of each course, learners will have the opportunity to complete a project which can be added to their portfolio of work. Projects include:
Address a Business Issue with Data Science
Extract, Transform, and Load Data
Data Analysis
Training a Machine Learning Model
Presenting a Data Science Project
This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process.
The typical student in this course will have experience in a business setting and a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
This course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL.
Learners will be taught how to collect data from multiple sources so it is available to be transformed and cleaned and then will dive into collected data sets to prepare and clean data so that it can later be loaded into its ultimate destination. In the conclusion of the course learners will load data into its ultimate destination so that it can be analyzed and modeled. The typical student in this course will have experience working with data and aptitude with computer programming.
This course is designed for business professionals that want to learn how to analyze data to gain insight, use statistical analysis methods to explore the underlying distribution of data, use visualizations such as histograms, scatter plots, and maps to analyze data and preprocess data to produce a dataset ready for training.
The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.
This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering problems.
To be successful in this course a learner should have a background in computing technology, including some aptitude in computer programming.
Communicate results of a model via web apps, and implement an d test pipelines that automate the model training, tuning and deployment process.
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
CertNexus is a vendor-neutral certification body, providing emerging technology certifications and micro-credentials for Business, Data, Development, IT, and Security professionals. CertNexus’ exams meet the most rigorous development standards possible which outlines a global framework for developing personnel certification programs to narrow the widening skills gap.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
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It will take learners 5 months with an average of 2 hours per week learning time. Learners can complete the specialization in shorter length of time by spending more time per week.
Learners should have a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110) course.
You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended. Experience working with databases, including querying languages like SQL is recommended.
It is recommended that learners take the course in order.
Please contact your university to check for eligible credits.
Upon completion learners will be prepared to take the CDSP (DSP) exam offered on Pearson VUE by CertNexus. For more information and to purchase exam vouchers visit CertNexus: https://certnexus.com/certified-data-science-practitioner-cdsp/
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (3/1/2024 - 3/1/2025)