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