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Online Certificate

Data Science Fundamentals with Python

Start a Career as a Data Scientist

6 Months*

To Complete

8-10 Hours

Weekly Commitment

Anytime

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Careers
Certification
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FAQ

What is Data Science Fundamentals with Python?

Data science is more than theory — it’s the practical art of solving real-world problems with data. By blending programming, analytics, and machine learning, data professionals uncover patterns, generate insights, and fuel smarter decisions across every industry.
This online course is built for aspiring data scientists ready to make an impact. You’ll gain hands-on experience in Python programming, data analysis, and machine learning techniques that translate directly to the workplace.

Becoming a Certified Data Scientist

This program teaches the foundational concepts, theory, and techniques you need to know to become an effective data analyst. You will analyze various datasets, build a handful of applications, and apply machine learning algorithms in meaningful ways to get real results. Along the way, you'll learn the best practices and computational techniques used by professional data scientists.

From there, the data wrangling topics and lab exercises provide an understanding of the processes used, along with the knowledge of the most popular tools and techniques in the domain. The Python content here further demonstrates how to use the Python back-end and extract/transform data from an array of sources, including the Internet.

You will learn

Python programming concepts

Data exploration

Mathematical computing

Data wrangling

Hypothesis building

Requirements

  • Undergraduate degree or a high school diploma
  • Web browser with internet connection
  • Course registration & payment

Provided Courseroom Materials

  • Expert-led video based training
  • Competency assessments
  • National Certification exam fees

Is a Career as a Data Scientist Right for You?

Take the Molloy University “Data Science Fundamentals with Python Readiness Quiz”

This fun, online quiz takes just 3 minutes to complete and provides you with a personalized report to find out if a short-term online certificate program is right for you. The report identifies your strengths and social style, plus the training and positions you’re best suited for.
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Topics You'll Learn in the Online Data Science Fundamentals 
with Python Certificate

Course

Get started with this certificate by understanding the course components and the topics covered. This will help you to be prepared for the upcoming sessions.

Embark on a comprehensive journey through the data science process, starting with an introduction to its fundamental concepts. Delve into Python’s role in data science, exploring essential packages and tools used for data manipulation, analysis, and visualization. By understanding the types of plots commonly used in data visualization, along with practical examples, you will acquire the skills necessary to effectively analyze and communicate insights from diverse datasets.

Through these topics, you will gain a comprehensive understanding of pandas, a powerful library for data manipulation and analysis in Python. Explore fundamental data structures such as Series and DataFrame, mastering essential statistical operations and handling techniques for dates, times, categorical data, and text data. Additionally, delve into advanced functionalities, including iteration, sorting, and plotting with Pandas, equipping them with the skills needed to process and analyze diverse datasets efficiently.

Through these topics, you will gain proficiency in data visualization using Matplotlib and Seaborn, two powerful libraries in Python. You will learn to create various types of plots, including line plots, scatter plots, bar charts, box plots, radar charts, area plots, polar plots, tree maps and pie charts using Matplotlib. Additionally, using Seaborn, you will explore advanced visualization techniques such as 3D visualization, violin plots, pair plots, heatmaps, joint plots, swarm plots and 3D graphs with multiple columns.

This comprehensively explores linear algebra, calculus, and statistics—the foundational pillars of data science. Grasp essential concepts such as scalars, vectors, matrices and their operations, along with understanding norms, ranks, determinants, inverses, eigenvalues and eigenvectors. Furthermore, delve into the application of calculus within linear algebra, establishing a solid mathematical framework for data analysis. Additionally, uncover the importance of statistics in data science, mastering various types of data and crucial statistical measures, including central tendency, dispersion, shape, covariance, and correlation. By mastering these concepts, you will be able to manipulate and analyze complex datasets, extract meaningful insights and make informed decisions in data-driven environments.

In this module, you will comprehensively understand NumPy, a fundamental library for numerical computing in Python. Explore the array object and its attributes, mastering essential array functions, arithmetic operations and statistical functions for efficient data manipulation and analysis. Additionally, you will delve into advanced topics such as string manipulation, array indexing, and slicing, equipping them with the necessary skills to work effectively with NumPy arrays in various data science applications.

In this module, you will explore the core principles of probability theory essential for data science. Understand random variables, probability distributions (both discrete and continuous) and key concepts like probability density functions and cumulative distribution functions. Additionally, delve into crucial theorems like the Central Limit Theorem and Bayes’ Theorem, along with estimation theory, equipping them to make informed statistical inferences and extract valuable insights from data.

In this module, you will master hypothesis testing methods essential for data analysis. You will understand concepts like null and alternative hypotheses, confidence intervals, margin of error, and confidence levels. Additionally, you will explore distributions, including the standard normal distribution (Z-distribution), t-distribution and chisquare distribution, along with associated tests like the t-test, z-test, and f-test. By understanding these techniques, you can make statistically sound decisions, analyze variance, and draw reliable conclusions from data.

Through these topics, you will acquire essential data preparation and manipulation skills, crucial steps in the data analysis pipeline. Learn the importance of thorough data collection and inspection, techniques to handle duplicates, and strategies for cleaning messy datasets. Additionally, delve into data transformation, binning and outlier detection methods to ensure data quality and reliability.

In this module, learners will explore the fundamentals of feature engineering, a critical aspect of data preprocessing in machine learning. They will learn various methods for transforming variables, including feature scaling, label encoding, one-hot encoding and hashing, essential for preparing categorical and numerical data for model training. Additionally, learners will delve into grouping operations, enabling them to aggregate and summarize data efficiently. By mastering these techniques, learners will be equipped to engineer informative features from raw data, enhancing machine learning models’ predictive power and performance.
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What Can You Do with a Data Science Fundamentals
with Python Certificate?

In today’s data-saturated world, organizations are racing to find professionals who can transform complexity into clarity. The ability to extract meaningful insights from massive datasets is no longer a luxury — it’s a necessity. Data science experts are in high demand across industries such as technology, healthcare, finance, and retail.

Careers to Explore

Data scientists have a wide range of careers and industries they can explore.

With this certificate, you may find employment as a:
  • Business Analyst
  • Database Administrator
  • Big Data Engineer or Data Architect
  • Data Analyst
  • Data Scientist
  • Natural Language Processing (NLP) Engineer
  • MLOps Engineer

High Demand for IT Professionals

According to the Bureau of Labor Statistics, employment of data scientists is projected to grow 36% from 2023 to 2033, much faster than the average for all occupations**. Feel confident you’re getting relevant skills to enter an in-demand career with plenty of opportunities.

Get Certified as a Data Scientist and Stand Out to Employers

Upon successful completion of your online Data Science Fundamentals courses, you will be prepared to take a variety of certification exams, including CompTIA: A+, CompTIA: Network+, TestOut: PC, ProTestOut: Network Pro, CompTIA: IT Fundamentals, and TestOut: IT Fundamentals Pro.

How Much Does a Data Science Fundamentals with 
Python Certificate Cost?

$2,749
Total Tuition
Speak with an admission representative for payment options.
Connect with an admissions counselor to explore payment plans available to you.
Payment Plan Details: Enrollment requires a minimum deposit of $500. Installment payments will begin 30 days after the course start date.
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Frequently Asked Questions

Molloy University's Data Science Fundamentals with Python certificate program is a comprehensive beginner-friendly course that teaches essential data science concepts and Python programming from the ground up. This program covers Python fundamentals, data manipulation with NumPy and pandas, data visualization, statistical analysis, probability theory, and introductory machine learning concepts. Start your application today to see if this program is right for you.

No, Molloy University's Data Science Fundamentals with Python program is specifically designed for beginners with no prior programming experience. Take our Online Certificate Readiness Quiz to find out if this program is right for you.

Graduates of Molloy's Data Science Fundamentals with Python program are prepared for entry-level positions in the fastest-growing career field. Career opportunities include business analyst, database administrator, data scientist, and more. Start your application today and discover career opportunities that you can pursue.

Molloy's Data Science Fundamentals with Python program provides comprehensive coverage of essential data science skills and concepts. The curriculum includes an introduction to data science, NumPy, data wrangling, advanced statistics, probability distribution, data visualization, and more. Take our Online Certificate Readiness Quiz to find out if this program is right for you.

Yes, Molloy University's Data Science Fundamentals with Python program is 100% online, allowing you to develop data science skills from anywhere. The flexible online format accommodates working professionals and busy schedules. Take our Online Certificate Readiness Quiz to determine if online training aligns with your learning style and career goals.

Is a Rewarding Career as a Data Scientist Right for You? Get More Info….

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*Certificate length when completed in normal time.
**https://www.bls.gov/ooh/math/data-scientists.htm#tab-6
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