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.
CertNexus Certified Data Science Practitioner Professional Certificate
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CertNexus Certified Data Science Practitioner Professional Certificate
Launch Your Career in Data Science. Master strategies to implement Data Science techniques in order to solve business problems.
Instructors: Sarah Haq
5,646 already enrolled
Included with 
Earn a career credential that demonstrates your expertise
4.7
(56 reviews)
Intermediate level
Recommended experience
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise
4.7
(56 reviews)
Intermediate level
Recommended experience
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
- Exploratory Data Analysis
- Stakeholder Engagement
- Data Cleansing
- Applied Machine Learning
- Business Priorities
- Data Manipulation
- Data Transformation
- Business Analytics
- Unsupervised Learning
- Machine Learning
- Classification And Regression Tree (CART)
- Data Analysis
- Statistical Analysis
- Stakeholder Management
- Data Processing
- Analytical Skills
- Extract, Transform, Load
- Data Visualization
- Project Scoping
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Industry certification
Taught in English
16 practice exercises
Professional Certificate - 5 course series
What you'll learn
Skills you'll gain
Category: Project Scoping
Category: Data Science
Category: Business Priorities
Category: Business
Category: Data-Driven Decision-Making
Category: Project Design
Category: Business Process
Category: Stakeholder Management
Category: Data Literacy
Category: Business Analytics
What you'll learn
Skills you'll gain
Category: Extract, Transform, Load
Category: Data Transformation
Category: Data Processing
Category: Data Cleansing
Category: Data Quality
Category: Data Collection
Category: Data Manipulation
Category: Data Integration
Category: Data Warehousing
Category: Data Mining
Category: Data Import/Export
What you'll learn
Skills you'll gain
Category: Data Analysis
Category: Scatter Plots
Category: Descriptive Statistics
Category: Statistical Analysis
Category: Exploratory Data Analysis
Category: Histogram
Category: Business Analytics
Category: Analytical Skills
Category: Data Processing
Category: Applied Machine Learning
Category: Data Visualization
Category: Data Transformation
What you'll learn
Skills you'll gain
Category: Machine Learning Algorithms
Category: Unsupervised Learning
Category: Regression Analysis
Category: Classification And Regression Tree (CART)
Category: Applied Machine Learning
Category: Jupyter
Category: Predictive Modeling
Category: Performance Metric
Category: Algorithms
Category: Machine Learning
Category: Performance Tuning
Category: Statistical Modeling
Category: Supervised Learning
What you'll learn
Communicate results of a model via web apps, and implement an d test pipelines that automate the model training, tuning and deployment process.
Skills you'll gain
Category: Automation
Category: Web Applications
Category: Stakeholder Communications
Category: Data Presentation
Category: Data Visualization
Category: Applied Machine Learning
Category: Data Pipelines
Category: Data Science
Category: Communication
Category: Data-Driven Decision-Making
Category: MLOps (Machine Learning Operations)
Category: Solution Delivery
Category: Stakeholder Engagement
Category: Project Closure
Category: Machine Learning
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
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.
More questions
Financial aid available,
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 (9/1/2024 - 9/1/2025)