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
5,700 already enrolled
Included with 
Earn a career credential that demonstrates your expertise
(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
(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
- Data Storytelling
- Trend Analysis
- Statistical Analysis
- Data Analysis
- Data Visualization
- Unsupervised Learning
- Extract, Transform, Load
- Project Scoping
- Classification And Regression Tree (CART)
- Data Processing
- Data Manipulation
- Machine Learning
- Analytical Skills
- Business Analytics
- Business Priorities
- Data Cleansing
- Applied Machine Learning
- Exploratory Data Analysis
- Business Analysis
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: Data Science
Category: Business Priorities
Category: Project Scoping
Category: Project Design
Category: Stakeholder Management
Category: Data Literacy
Category: Business Analysis
Category: Business
Category: Case Studies
Category: Data-Driven Decision-Making
Category: Business Process
What you'll learn
Skills you'll gain
Category: Extract, Transform, Load
Category: Data Processing
Category: Data Transformation
Category: Data Cleansing
Category: Data Warehousing
Category: Data Collection
Category: Data Integration
Category: Data Manipulation
Category: Data Import/Export
Category: Data Quality
Category: Data Mining
What you'll learn
Skills you'll gain
Category: Descriptive Statistics
Category: Histogram
Category: Data Cleansing
Category: Scatter Plots
Category: Statistical Analysis
Category: Exploratory Data Analysis
Category: Business Analytics
Category: Trend Analysis
Category: Data Visualization
Category: Data Transformation
Category: Analytical Skills
Category: Data Processing
Category: Data Analysis
What you'll learn
Skills you'll gain
Category: Classification And Regression Tree (CART)
Category: Unsupervised Learning
Category: Regression Analysis
Category: Feature Engineering
Category: Supervised Learning
Category: Machine Learning
Category: Performance Metric
Category: Applied Machine Learning
Category: Predictive Modeling
Category: Jupyter
Category: Forecasting
Category: Performance Tuning
Category: Statistical Modeling
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: Data Visualization
Category: Web Applications
Category: Stakeholder Communications
Category: Automation
Category: Data Presentation
Category: Project Closure
Category: Communication
Category: Applied Machine Learning
Category: Machine Learning
Category: Data Storytelling
Category: Data Science
Category: Stakeholder Engagement
Category: MLOps (Machine Learning Operations)
Category: Data Pipelines
Category: Solution Delivery
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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)