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
5,688 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
- Data Storytelling
- Extract, Transform, Load
- Classification And Regression Tree (CART)
- Statistical Analysis
- Data Processing
- Data Cleansing
- Data Analysis
- Trend Analysis
- Machine Learning
- Data Manipulation
- Analytical Skills
- Data Visualization
- Project Scoping
- Exploratory Data Analysis
- Business Analysis
- Unsupervised Learning
- Business Analytics
- Business Priorities
- Applied Machine Learning
Tools you'll learn
What鈥檚 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: Project Scoping
Category: Business Priorities
Category: Case Studies
Category: Data-Driven Decision-Making
Category: Business Process
Category: Project Design
Category: Business
Category: Business Analysis
Category: Stakeholder Management
Category: Data Literacy
What you'll learn
Skills you'll gain
Category: Data Processing
Category: Data Transformation
Category: Extract, Transform, Load
Category: Data Cleansing
Category: Data Quality
Category: Data Manipulation
Category: Data Integration
Category: Data Warehousing
Category: Data Mining
Category: Data Collection
Category: Data Import/Export
What you'll learn
Skills you'll gain
Category: Histogram
Category: Scatter Plots
Category: Statistical Analysis
Category: Data Cleansing
Category: Exploratory Data Analysis
Category: Descriptive Statistics
Category: Data Visualization
Category: Data Processing
Category: Trend Analysis
Category: Data Transformation
Category: Business Analytics
Category: Data Analysis
Category: Analytical Skills
What you'll learn
Skills you'll gain
Category: Regression Analysis
Category: Unsupervised Learning
Category: Classification And Regression Tree (CART)
Category: Forecasting
Category: Statistical Modeling
Category: Machine Learning
Category: Applied Machine Learning
Category: Performance Tuning
Category: Predictive Modeling
Category: Feature Engineering
Category: Performance Metric
Category: Supervised Learning
Category: Jupyter
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: Stakeholder Communications
Category: Data Presentation
Category: Automation
Category: Data Visualization
Category: Web Applications
Category: Data Science
Category: Stakeholder Engagement
Category: Project Closure
Category: Communication
Category: Data Pipelines
Category: MLOps (Machine Learning Operations)
Category: Data Storytelling
Category: Machine Learning
Category: Solution Delivery
Category: Applied 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.
Instructors
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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鈩� (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,
鹿 Median salary and job opening data are sourced from Lightcast鈩� 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)