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
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
Included with 
Earn a career credential that demonstrates your expertise
(59 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
(59 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)
- Data Visualization
- Data Analysis
- Project Scoping
- Business Priorities
- Data Storytelling
- Extract, Transform, Load
- Applied Machine Learning
- Business Analysis
- Business Analytics
- Exploratory Data Analysis
- Data Processing
- Machine Learning
- Data Cleansing
- Unsupervised Learning
- Statistical Analysis
- Trend Analysis
- Analytical Skills
- Data Manipulation
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
Project Scoping, Business Priorities, Data Science, Data Literacy, Stakeholder Management, Data-Driven Decision-Making, Case Studies, Project Design, Business Process, Business Analysis, and Business
What you'll learn
Skills you'll gain
Data Transformation, Data Processing, Data Cleansing, Extract, Transform, Load, Data Quality, Data Collection, Data Import/Export, Data Manipulation, Data Warehousing, Data Integration, and Data Mining
What you'll learn
Skills you'll gain
Scatter Plots, Exploratory Data Analysis, Histogram, Statistical Analysis, Data Cleansing, Descriptive Statistics, Data Visualization, Analytical Skills, Trend Analysis, Data Analysis, Business Analytics, Data Transformation, and Data Processing
What you'll learn
Skills you'll gain
Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Feature Engineering, Predictive Modeling, Jupyter, Performance Tuning, Performance Metric, Applied Machine Learning, Supervised Learning, Statistical Modeling, Machine Learning, and Forecasting
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
Data Presentation, Web Applications, Data Visualization, Automation, Stakeholder Communications, Data Storytelling, Machine Learning, Applied Machine Learning, Data Science, Stakeholder Engagement, Communication, Project Closure, Solution Delivery, Data Pipelines, and MLOps (Machine Learning Operations)
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 (10/1/2024 - 10/1/2025)