Leadership & Strategic

Training Course: Leadership Mastery for Data Science: Developing Technical Leaders


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Quick Inquiry
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LS234952

8 - 12 Jul 2024

London (UK)

Hotel : Landmark Office Space - Oxford Street

Cost : 5250 € Euro

Introduction

This customized leadership development program is designed for individuals who have recently taken on a new leadership role as a Principal Data Scientist and Technical Lead. The program will provide participants with the necessary skills and knowledge to effectively lead and manage data science projects and teams.

Training Program Objectives

  • To understand the fundamentals of leadership, including different leadership styles and the characteristics of an effective leader
  • To develop effective communication and collaboration skills
  • To learn the fundamentals of project management and how to lead and manage data science projects
  • To acquire technical skills in data science, machine learning, data visualization, and programming languages
  • To apply the concepts and skills learned through case studies and real-world examples
  • To receive mentorship and coaching from experienced leaders in the field

Competencies

  • Leadership skills
  • Communication and collaboration skills
  • Project management skills
  • Technical skills in data science and machine learning
  • Problem-solving and decision-making skills

Personal Benefits

  • Improved leadership skills and confidence
  • Enhanced communication and collaboration skills
  • Increased ability to manage and lead data science projects
  • Improved technical skills and knowledge
  • Increased problem-solving and decision-making abilities
  • Opportunities for mentorship and coaching

Organizational Benefits

  • Improved leadership capabilities of data science teams
  • Enhanced communication and collaboration within data science teams
  • Increased ability to manage and lead data science projects
  • Improved technical skills and knowledge of data science teams
  • Increased problem-solving and decision-making abilities within data science teams
  • Improved alignment of data science initiatives with organizational objectives

Training Methodologies

  • Classroom instruction
  • Group activities and discussions
  • Case studies and real-world examples
  • Mentorship and coaching
  • Final project

Target Audience

  • Data Science Team Leads
  • Data Science Project Managers
  • Data Science Department Heads
  • Data Science Managerial staff
  • Senior Data Scientists with management responsibilities
  • Data Science Managers with Technical Lead responsibilities
  • Principal Data Scientists in a Technical Lead role
  • Individuals who have recently taken on a new leadership role in a data science team

Training Outline

Module 1: Introduction to Leadership

  • Overview of leadership styles and their characteristics
  • The role of a leader in an organization
  • Characteristics of an effective leader
  • Self-assessment of leadership skills

Module 2: Communication and Collaboration

  • Importance of effective communication in a leadership role
  • Building and maintaining relationships with team members, stakeholders, and other key players in the organization
  • Collaboration skills and techniques
  • Handling conflicts and difficult situations

Module 3: Project Management

  • Fundamentals of project management
  • Planning, execution, monitoring and controlling, and closing phases
  • Managing and leading teams and projects effectively
  • Problem-solving and decision-making skills

Module 4: Technical Skills Review

  • Data Science methodologies
  • Machine learning algorithms and techniques
  • Data visualization techniques
  • Programming languages and tools used in data science
  • Best practices for data management and governance

Module 5: Case Studies and Real-World Examples

  • Analysis and solving problems using data science techniques
  • Leading and managing data science projects
  • Group activities and discussions

Module 6: Mentorship and Coaching

  • Mentorship and coaching from experienced leaders in the field
  • Opportunities for participants to ask questions, receive feedback, and learn from the experiences of others

Module 7: Final Project

  • Leading and managing a data science project from start to finish
  • Presentation and evaluation of the final project

Leadership & Strategic

Training Course: Leadership Mastery for Data Science: Developing Technical Leaders


Register Now
Quick Inquiry
Discount Group Download Brochure (3)

LS234952

8 - 12 Jul 2024

London (UK) - Landmark Office Space - Oxford Street

Hotel : Landmark Office Space - Oxford Street

Cost: 5250 € Euro


  About London

The UK capital of London is a city that combines the old and the new. It is as equally famous for the latest fashion and innovation as it is for its impressive heritage. London's attractions range from the Royal Palace to the DIY atmosphere of its markets. It is also a picturesque city of parks and of course, the majestic Thames River. The city extends for miles beyond its ancient core and each neighborhood has its own charming atmosphere for visitors to explore. London also wears its status as a world city proudly and the influence of different cultures is plain to see in the food and fashion of the capital.


  Things to do and places to visit in London

With so many attractions in London, anyone can find something to delight them. Art lovers will enjoy the world-renowned museums and galleries, most of which are free. Sports fans are spoilt for choice by the city's array of football clubs. Theatre and music fans have a vast list of venues to visit, whilst shopaholics have Harrods, Oxford Street, Camden and much more to look forward to after arranging flights to London.

Some unmissable London attractions include:

  • Seeing priceless masterpieces in the Tate Britain or the National Gallery.
  • Watching the changing of the guard at Buckingham Palace.
  • Visiting Trafalgar Square's famous monument.
  • Marveling at the Crown Jewels in the Tower of London.
  • Getting a bird's eye view of the city from the London Eye.
  • Tasting one of Brick Lane's famous curries.
  • Browsing the exclusive shops of Knightsbridge.
  • Visiting a market – Spitalfields for antiques, Camden for clothes or Borough Market for street food.
  • Admiring design from around the world in the Victoria and Albert Museum.
  • Looking for clues at the home of fiction's most famous detective, Sherlock Holmes.
  • Strolling through one of the lovely parks, including Hyde Park, St James' Park or Kew Gardens.
  • Eating Britain's most famous dish, fish and chips.
  • Watching the street performers in Covent Garden.
  • Enjoying the views at a South Bank cafe.
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