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
5,671 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
- Classification And Regression Tree (CART)
- Extract, Transform, Load
- Data Processing
- Project Scoping
- Exploratory Data Analysis
- Business Analysis
- Data Manipulation
- Data Storytelling
- Unsupervised Learning
- Trend Analysis
- Applied Machine Learning
- Data Cleansing
- Machine Learning
- Analytical Skills
- Business Priorities
- Data Analysis
- Statistical Analysis
- Data Visualization
- Business Analytics
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: Business Priorities
Category: Data Science
Category: Project Scoping
Category: Business
Category: Project Design
Category: Data-Driven Decision-Making
Category: Stakeholder Management
Category: Business Analysis
Category: Data Literacy
Category: Business Process
Category: Case Studies
What you'll learn
Skills you'll gain
Category: Data Transformation
Category: Extract, Transform, Load
Category: Data Cleansing
Category: Data Processing
Category: Data Import/Export
Category: Data Mining
Category: Data Integration
Category: Data Warehousing
Category: Data Collection
Category: Data Manipulation
Category: Data Quality
What you'll learn
Skills you'll gain
Category: Histogram
Category: Scatter Plots
Category: Exploratory Data Analysis
Category: Statistical Analysis
Category: Data Analysis
Category: Descriptive Statistics
Category: Data Transformation
Category: Data Visualization
Category: Data Processing
Category: Trend Analysis
Category: Data Cleansing
Category: Analytical Skills
Category: Business Analytics
What you'll learn
Skills you'll gain
Category: Classification And Regression Tree (CART)
Category: Unsupervised Learning
Category: Regression Analysis
Category: Predictive Modeling
Category: Applied Machine Learning
Category: Feature Engineering
Category: Supervised Learning
Category: Performance Metric
Category: Statistical Modeling
Category: Jupyter
Category: Machine Learning
Category: Forecasting
Category: Performance Tuning
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: Stakeholder Communications
Category: Web Applications
Category: Data Presentation
Category: Data Visualization
Category: Data Science
Category: Data Storytelling
Category: Machine Learning
Category: MLOps (Machine Learning Operations)
Category: Applied Machine Learning
Category: Data Pipelines
Category: Communication
Category: Solution Delivery
Category: Project Closure
Category: Stakeholder Engagement
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)