Python-Powered Data Science and AI Certificate Program

Empower Your Career with Python, Data Science, and AI

According to McKinsey Global Institute, data-driven organizations are 23 times more likely to acquire customers, 6 times as likely to retain customers, and 19 times as likely to be profitable.

Python-Powered Data Science and AI Certificate Program

This immersive training program is designed to equip participants with the essential skills and knowledge required to excel in the fields of Data Science and Artificial Intelligence. Through a series of modules, hands-on sessions, and coaching, learners will gain proficiency in Python programming, data analytics, machine learning, and AI techniques. The course culminates in a Capstone Final Project where participants will apply their skills to solve real-world problems.

Data Insights & Visualization Professional Certificate Program

Program Roadmap

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Program Kickoff

  • An essential introductory event where participants connect with program coaches and outline their objectives.

Introduction to Python

  • Master the fundamentals of Python programming, including data structures, functions, and modules.
  • On-Demand modules are provided for extra practice and time flexibility.

Coaching #1

  • A 4-hour virtual group session.

Python Data Analytics

  • Utilize tools like NumPy and pandas for data manipulation and visualization with Matplotlib and Seaborn.
  • Challenge problems are provided for extra practice off-line.

Coaching #2

  • A 4-hour virtual group session.

AI and Machine Learning

  • Explore machine learning techniques such as clustering and classification, and dive into deep learning methodologies.
  • Challenge problems are provided for extra practice off-line.

Coaching #3

  • A 4-hour virtual group session.

Capstone Project

  • Apply acquired skills to a real-world challenge, culminating in a comprehensive presentation of findings.

Benefits of the Program

Benefits of the Program

Graduates of the Python-Powered Data Science and AI Certificate Program will earn a Professional Certificate and gain all the essential understanding and learners will gain proficiency in Python programming, data analytics, machine learning, and AI techniques needed to perform in the Data Science field. Additional advantages of taking the program include:

Skill Enhancement

  • Gain proficiency in high-demand data science and AI skills.

Career Advancement

  • Open new career opportunities and enhance professional value.

Real-World Application

  • Apply learning to practical scenarios and projects.

Networking Opportunities

  • Connect with peers and industry professionals.

Our Integrated Learning Model

For all of our programs, we have developed a unique integrated learning model that optimizes skills training and promotes deep understanding of the material. We based this model on our extensive experience delivering outcome-based training and with the input and insight of the top practitioners and instructors in each field.

The model consists of four crucial elements required for deep learning:

Training

At the core of each program is in-depth instructor-led training offered both in person and virtually to accommodate all student needs. In either case, students benefit from live lessons and interactions with experienced instructors with significant real-world experience in their areas of expertise, as well as with their fellow classmates. This training ranges from 5 to 7 full courses, depending on the program, each of which address a fundamental topic of the program’s area of focus.

Coaching

The group coaching we offer in within each course is where some of the most important learning of our programs happens. With one dedicated coach throughout the program, students have the opportunity to regularly reflect on what they have learned, ask follow-up questions, dialogue with peers, and dig deep into the material to ensure a complete understanding.

Collaboration

Collaboration is a powerful element of our integrated learning model that maximizes deep learning by sharing experiences, knowledge, and tools among students (and instructors). This sharing of information creates a multiplier effect that not only improves learning outcomes but also provides opportunities to practice accountability, cooperation, communication, and more generally to expand one’s emotional intelligence and relationship management.

Capstone

This program concludes with a capstone project, requiring students to apply their skills and knowledge to a real-world challenge through extensive research, critical thinking, and problem-solving. This comprehensive presentation of findings not only demonstrates subject mastery but also prepares students for practical applications in their future careers.

The Python-Powered Data Science and AI Certificate Program is comprised of the following modules:

The Certificate Program Kickoff serves as a crucial introductory event for participants, providing them with a valuable opportunity to connect with their program coach. During this session, participants will not only establish a rapport with their coach but also gain a clear understanding of the desired outcomes aligned with their organization’s goals.

Participants will apply their acquired skills and knowledge to tackle a sample real-world data challenge, allowing them to demonstrate their proficiency in data gathering, visualization, and communication. By working on this project, they will be able to show their abilities and provide useful insights to help achieve business objectives. Participants will complete their journey by providing a comprehensive final presentation to their program coach, cohort and leadership team. This culminating event provides participants with a platform to present their data-driven stories, highlighting the skills and competencies they've acquired in the program.

There are three coaching sessions that are conducted throughout the program. The purpose of these coaching sessions is to review the prior modules, solidify the learning and discuss steps involved in perfecting their capstone project. The coach’s role is to support participants in implementing and adopting the actions discussed during the coaching sessions.

Program Key Features

The Python-Powered Data Science and AI Certificate Program offers hands-on learning with real-world projects, expert coaching, flexible learning options, and a capstone project to showcase your skills, providing a comprehensive and personalized educational experience. The program’s key features include: 

  • 4 hours of pre- and post- workshops 
  • 6 hours of coaching between courses to reinforce learning 
  • 6 days of instructor-led courses in person or virtual 
  • 3 hours of on-demand training 
  • Dedicated instructors and coaches throughout for a seamless experience 
  • Instructors of the practice with decades of real-world experience 
  • Deep action-based learning and real-time coaching and feedback 

Is it Right for Your Organization?

Is it Right for Your Organization?

The Learning Tree Python-Powered Data Science and AI Certificate Program is designed for professionals who need to use data to inform important decisions. This program is well suited for professionals transitioning into data-related roles, managers and stakeholders who regularly work with data. It improves data analysis skills and provides valuable insights and competencies to professionals.

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The Learning Tree Way

For nearly 50 years, Learning Tree has helped more than 65,000 organizations around the world – both commercial and government, large and small – train experts and leaders in a range of technical and business skills. We have heard directly from thousands of organizations about what they need most in leaders and where the biggest gaps exist. 

Learning Tree is centered around empowering individuals and businesses to harness the potential of data visualization as a solution to effectively utilize data for informed decision-making. By mastering the art of storytelling through data visualization, organizations can simplify complex information, identify hidden patterns and trends, enhance communication of data insights, and facilitate data-driven decision-making. 

The Learning Tree Way


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