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)
- Unsupervised Learning
- Business Analytics
- Statistical Analysis
- Data Storytelling
- Data Analysis
- Trend Analysis
- Machine Learning
- Data Manipulation
- Data Processing
- Data Visualization
- Business Priorities
- Project Scoping
- Analytical Skills
- Data Cleansing
- Exploratory Data Analysis
- Business Analysis
- Extract, Transform, Load
- Applied Machine Learning
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
Data Science, Business Priorities, Project Scoping, Business Process, Data-Driven Decision-Making, Stakeholder Management, Business Analysis, Project Design, Case Studies, Data Literacy, and Business
What you'll learn
Skills you'll gain
Extract, Transform, Load, Data Processing, Data Transformation, Data Cleansing, Data Warehousing, Data Mining, Data Manipulation, Data Import/Export, Data Quality, Data Collection, and Data Integration
What you'll learn
Skills you'll gain
Data Cleansing, Histogram, Scatter Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Data Processing, Data Transformation, Trend Analysis, Data Visualization, Business Analytics, Data Analysis, and Analytical Skills
What you'll learn
Skills you'll gain
Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Predictive Modeling, Performance Metric, Performance Tuning, Feature Engineering, Forecasting, Applied Machine Learning, Jupyter, Supervised Learning, Machine Learning, and 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
Data Presentation, Stakeholder Communications, Automation, Data Visualization, Web Applications, Data Science, Data Pipelines, Project Closure, Stakeholder Engagement, Machine Learning, Communication, MLOps (Machine Learning Operations), Applied Machine Learning, Solution Delivery, and Data Storytelling
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
Offered by
Compare with similar products
| Rating | ||||
|---|---|---|---|---|
| Level | ||||
| Skills | ||||
| Tools | ||||
| Last updated | ||||
| Number of practice exercises | ||||
| Degree eligibility | ||||
| Part of Coursera Plus |
You might also like
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
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)