Digital Transformation Data Science Professional

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Courses Overview

Unlock the Power of Digital Transformation with a Comprehensive Understanding of Big Data, Machine Learning, and Artificial Intelligence.

This program offers a unique blend of business and technical perspectives on Digital Transformation. You will learn how to evaluate emerging technologies and trends to determine their impact on organizational needs and processes.

The course will cover the latest practices in data science and analysis and equip you with the essential skills in Big Data Analysis & Analytics, Machine Learning and Artificial Intelligence. Whether you’re an aspiring data professional or a business leader, this course will provide you with the knowledge and tools you need to drive success in the digital age.

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Career Prospects and Opportunities

Data-driven executives are being hired because they have the analytical skills to understand business problems and identify trends, as well as have enough time, patience, and resources to develop proprietary solutions.

There are many benefits to learning data science for the workforce, including:

Demand for data scientists: Data science is a rapidly growing field, with increasing demand for professionals who can analyse and interpret large amounts of data. By learning data science, you can position yourself as an asset in the job market.
Versatility: Data science skills are applicable to a wide range of industries, including finance, healthcare, marketing, and technology. This versatility allows you to pursue a career in the field that interests you most.
High salaries: Data scientists are in high demand and often command high salaries. According to Glassdoor, the median salary for a data scientist is $121,000 per year.
Problem-solving skills: Data science involves solving complex problems using data. By learning data science, you can develop skills in critical thinking, analysis, and problem-solving that are applicable to a variety of situations.
Data literacy: In today’s world, data is increasingly important in decision-making. By learning data science, you can gain a deeper understanding of how to use data effectively and make informed decisions based on data.

Overall, learning data science can open a wide range of career opportunities and equip you with valuable skills that are in high demand in the job market.

Who Should Attend the Data Science Training

Business Architects

Business Analyst/Artificial Intelligence Translator

Product Manager

Program Manager

Project Manager/Scrum Master

Solutions Architect

Systems Administrator

Individuals in charge of data administration

Business Executives wishing to improve the processes

Organisations that have benefited from applying Data Science

Benefits of obtaining the Digital Transformation Data Science Professional Certification

A Certified Digital Transformation Data Science Professional has gained a working knowledge of modern data science practices, including Big Data, Analytics, Machine Learning and Artificial Intelligence.

The Certified Digital Transformation Data Science Professional further understands how these practices can be positioned and utilized in relation to each other as part of a greater Digital Transformation solution. Those who achieve this certification receive an official Digital Certificate of Excellence, as well as a Digital Certification Badge from Acclaim/Credly, with an account that supports the online verification of certification status.

What would you learn in the Digital Transformation Data Science Professional course?

Data Science provides a comprehensive training program that covers key topics such as:

Topic 1 – Fundamental Digital Transformation

This topic provides an understanding of digital transformation, including its benefits, challenges, and business and technology drivers. It also covers the importance of customer-centricity in digital transformation and explores the differences between product-centric and customer-centric relationships. The course further delves into customer interactions and journeys, as well as data intelligence basics and its origins, sources, and utilization types. Finally, the topic covers the different types of intelligent decision-making, including manual and automated, and their respective advantages and disadvantages.

Topic 2 – Digital Transformation in Practice

This topic covers the basics of understanding digital transformation solutions, including data ingress and the introduction to different automation technologies such as cloud computing, blockchain, IoT, RPA, big data, machine learning, and AI. It also explores the risks and challenges associated with each technology, as well as the basics of data science and how they are integrated into digital transformation solutions. The course concludes with a step-by-step exploration of a customer-centric digital transformation solution, mapping individual technologies to solution processing and tracking data intelligence collection and use.

Topic 3 – Fundamental Big Data Analysis & Analytics – This topic provides an overview of Big Data science, exploring relevant analysis practices, technologies, and tools for Big Data environments. It covers common analysis functions and features of Big Data solutions and the Big Data analysis lifecycle with case study examples and simple diagrams. The topic explains how Big Data can solve business problems and drive an organization forward. Also covered are key analysis techniques and technologies, and how Big Data solutions environment can be built and integrated to offer competitive advantages.

Topic 4 – Fundamental Machine Learning – This topic provides a comprehensive overview of machine learning and its associated practices, models, and technologies. It covers the business and technology drivers, benefits and challenges, and various usage scenarios of machine learning. The course delves into the types of data used in machine learning, including structured, unstructured, and semi-structured data. It also explains the process of collecting and pre-processing training data, selecting algorithms and models, and deploying trained models. It also covers various machine learning algorithms such as supervised learning, classification, decision trees, regression, ensemble methods, unsupervised learning, and clustering. It also provides best practices for machine learning systems and explains the common mechanisms used in model training and the relationship between machine learning and deep learning and artificial intelligence.

Topic 5 – Fundamental AI – This topic provides an overview of artificial intelligence (AI) and neural networks in a comprehensive and easy-to-understand manner. It covers AI business and technology drivers, benefits, and challenges, the various functional areas that AI is used for, and an introduction to neural networks. The course covers different AI learning approaches and algorithms, including supervised, unsupervised, and reinforcement learning, as well as common functional designs for AI systems. The course also covers the architecture of various neural networks, including feedforward, recurrent, and deep convolutional networks, and provides a step-by-step guide on how to build an AI system.

Upon completion of the program, you will:

Assess potential of emerging technologies to address challenges and enhance processes within the organisation through market scanning and research techniques
Appraise relevance of IT technologies and processes used in other industry sectors
Evaluate and recommend technology models in Big Data Analysis & Analytics, Machine Learning and AI that can be used to enhance existing business processes
Identify improved processes driven by new and emerging technologies applications and approaches available in market
Conduct research on new technologies in the field of artificial intelligence

Data Science Professional Training Prerequisites

To take the Data Science Professional training, you will need to have a basic understanding of concepts in the following:

Knowledge of programming languages such as Python
Basic understanding of statistics and linear algebra.
Familiarity with database management systems.
Understanding of data structures and algorithms.
Basic knowledge of probability and calculus.

How does the Data Science program compare with other programs?

Comprehensive Coverage: The curriculum gives learners a thorough learning experience by covering a variety of key drivers in Data Science including Big Data Analysis and Analytics , AI & Machine Learning.

Applications in the Real World: The curriculum places a strong emphasis on using data analytics techniques in the real world to solve business problems, giving participants skills they can use right away.

Learning by Doing: The curriculum includes projects and hands-on activities that let participants put their newly learned abilities into practice in a safe learning environment.
Experienced Trainers: The program is taught by knowledgeable, experienced teachers with experience in the field of data analytics. They offer learners insightful advice and support at every stage of the learning process.

Flexibility: Whether participants are working professionals or full-time students, the program is designed to be flexible and adaptable, enabling them to learn at their own speed and on their own schedule.

Industry-Relevant Content: The program is designed in accordance with the most recent business trends and practices to give participants the most current knowledge and skills necessary for success in the data science

Why choose BellsTech?

Solid track record

Bells has trained over 140,000 professionals with certifications in numerous domains.

Live, instructor-led face-to-face classroom training

Coaching by Experienced Trainers

Learn and interact with Certified Instructors who are experienced industry experts and obtain personalised guidance and feedback from instructors.

Industry-validated courseware

Preparation for the Arcitura Certified Digital Transformation Data Science Professional Examination

Hands-on learning with group exercises

Learn with practical, real-world simulations & case studies, hands-on exercises, and guided assessments.

Continuous, extensive learning support

Includes long-term access to the learning platform, community forums and peer-to-peer networking with other certified professionals.

FAQs

1. What is the certification I would receive after completing this course?

The Digital Transformation Data Science Professional track is comprised of five modules that are to be completed as part of this track.

This program prepares you to take the Digital Transformation Data Science Professional Certification, Exam DT90.DAT as an optional certification.
Completion of this program as part of a virtual or on-site workshop result in each participant receiving an official Digital Certificate of Completion, as well as a Digital Training Badge from Acclaim/Credly

2. How long is the exam?

The CompTIA Security+ (SY0-601) is a 90-minute exam with a maximum of 90 questions.

3. What is the eligibility to take the certification exam?

To apply for the Digital Transformation Data Science Professional Certification, Exam DT90.DAT you must complete the five modules successfully.

4. What is the passing score for this exam?

The Digital Transformation Data Science Professional must be completed with a passing grade and the Digital Transformation Specialist Certification must be attained.

The minimum passing score is 50 (on a scale of 100).

5. Who are the instructors of this course?

Live, instructor-led face-to-face classroom training

Learn and interact with Instructors who are experienced industry experts and obtain personalised guidance and feedback from instructors.

Hands-on learning with group exercises

Learn with practical, real-world simulations & case studies, hands-on exercises, and guided assessments.

Continuous, extensive learning support

Includes long-term access to the learning platform, community forums and peer-to-peer networking with other certified professionals.

6. Is this course online or classroom-based?

This course is offered live, interactive, trainer-led sessions where you can learn directly from top experts.

For Companies

Upskill your workforce in Digital Transformation with Big Data, ML and AI

Take proactive steps to ensure your relevant key personnel are well informed and well versed in the domains of Big Data, ML and AI.

training program can be integrated into your company training learning map to guarantee everyone has the skills needed to achieve the knowledge & abilities to evaluate new and emerging technology and trends against the organizational needs and processes.

Validate your employee’s knowledge in Practical, Industry-Focused, and Hands-on Training with the Latest Updated Curriculum & Customised Training Solutions

Practical, Industry-Focused, and Hands-on Training

Latest Updated Curriculum

Customised Training Solutions

Enhance your overall cybersecurity!

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Price: Free

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Language: English
Duration: 10 weeks
Skill level: Any level
Lectures: 0