Certified Data Analytics Professional (CDAP) from Udemy

Welcome to our Data Analytics Online Course. In today's data-driven world, the ability to transform raw data into actionable insights is more valuable than ever. This course is designed to equip you with the essential skills and knowledge needed to navigate the complete data analytics lifecycle. Most importantly, it provides you with the opportunity to be a "Certified Data Analytics Professional (CDAP)"

We’ll start by exploring data collection methods, ensuring you understand how to gather relevant data from various sources effectively. Next, we’ll dive into data storage, discussing how to organize and manage your data for optimal access and security.

Once you have your data in place, we’ll guide you through the crucial process of data cleaning, teaching you how to prepare your data for analysis by identifying and rectifying errors and inconsistencies. After that, we’ll embark on the exciting phase of data analysis, where you'll learn how to uncover patterns and insights that can drive informed decision-making.

Finally, we’ll wrap up the course with data visualization, emphasizing how to present your findings in a clear and compelling manner using various visualization tools and techniques.

Whether you’re looking to enhance your career prospects or simply curious about the power of data, this course provides a comprehensive foundation in data analytics. Join us on this journey to unlock the potential of data and become a proficient data analyst.

A FREE BOOK, 8 TEMPLATES, PHONE APP, & CLOUD SYSTEM are included with this master course:

1) "Strategy Planning & Execution From A to Z" Book (Free soft copy)

2) Kippy Cloud system (To host strategy, KPIs, projects, & appraisals) - Free 14 Days

3) "KPI Mega Library" Phone APP with 36,000 KPIs

4) Projects template with dashboards (Excel) x 2

5) Balanced Scorecards template with dashboards (Excel) x 2

6) Quarterly performance review template for review meeting (PPT)

7) Strategy development & alignment template (PPT)

8) HR appraisal template with individual KPIs (Excel)

9) Kaizen Initiative Template and process (Excel)

Note: There is an optional additional online exam (excluded) that you can take to become a "Certified Data Analytics Professional (CDAP)" - Exam fee applies

However, "Attendance Certificate" is FREE through Udemy course screen

What's inside

Learning objectives

Data collection: overview | data types | methods | process | accuracy | data privacy
Data storage: overview | types | warehouse | backup | big data | security
Data cleaning: overview | data quality | identify issues | correcting errors | data standardizing | data validation

Data analysis: overview | types | tools | artificial intelligence | machine learning | data mining
Data visualization: overview | tools & bi | dashboards | presentation | interpretation | reports

Data collection: overview | data types | methods | process | accuracy | data privacy
Data storage: overview | types | warehouse | backup | big data | security
Data cleaning: overview | data quality | identify issues | correcting errors | data standardizing | data validation
Data analysis: overview | types | tools | artificial intelligence | machine learning | data mining
Data visualization: overview | tools & bi | dashboards | presentation | interpretation | reports

Syllabus

Introduction

Course Introduction Video

Introduction & Course Map

Data Collection

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a comprehensive foundation in data analytics, covering the entire data lifecycle from collection to visualization, which is ideal for those starting their journey

Offers the opportunity to become a 'Certified Data Analytics Professional (CDAP)' through an optional exam, which may enhance career prospects for some learners

Includes templates for projects, balanced scorecards, and performance reviews, which can be valuable resources for professionals in data analysis roles

Explores data mining, machine learning, and artificial intelligence, which are essential topics for modern data analysis and can help learners stay current

Requires an additional fee to take the certification exam, which may be a barrier for some students seeking formal recognition of their skills

Includes a free phone app with 36,000 KPIs, which may be overwhelming for beginners and more useful for experienced professionals seeking specific metrics

Reviews summary

Foundational data analytics overview

According to learners, this course provides a solid foundation and serves as a fantastic starting point for understanding the data analytics lifecycle. Many appreciate the clear and concise manner of explanation and the logical structure, finding it easy to follow. The accompanying included templates and bonus book are frequently highlighted as very practical and useful resources. However, a common theme is that the course lacks depth, particularly in applying specific tools or advanced techniques, positioning it more as a conceptual introduction. There is also notable confusion regarding the 'Certified' aspect, as the official CDAP certification requires an optional additional online exam (excluded) separate from the course, which some reviewers found misleading.

Content is well-suited for new learners or those needing an overview.

"Highly recommended for beginners!"

"As someone transitioning careers, this provided the perfect entry point into data analytics."

"Perfect for beginners or managers who need to understand the process."

"This course is an absolute gem for beginners!"

Templates and book are practical and highly valued.

"I especially appreciated the included templates, they are very practical. The bonus book was also a great addition."

"The templates provided are a nice touch and save a lot of time."

"The bonus materials are definitely a plus, especially the templates."

"The included templates are fantastic resources."

Provides a strong intro to data analytics basics.

"This course is a fantastic starting point for anyone interested in data analytics. It covers all the fundamental steps..."

"Absolutely loved this course! As someone transitioning careers, this provided the perfect entry point into data analytics."

"Excellent foundational course. It breaks down the data analytics lifecycle into manageable pieces."

"Provides a good structured approach to data analytics. I found the data cleaning and visualization sections particularly strong."

Certification requires separate paid exam, causing confusion.

"The promise of becoming 'Certified' seems tied to an external, paid exam, separate from the course completion, which feels a bit misleading."

"Disappointed with the course title vs. content. It says 'Professional Certification' but the course only provides an attendance certificate and you have to pay extra for the *real* certification exam."

"The CDAP certification part is confusingly separate."

More conceptual overview than deep tool-based practice.

"While it gives a broad understanding, it lacks depth in some areas, especially on specific tools or advanced techniques."

"It could benefit from more hands-on exercises using popular tools like Python or R, as the current practical application is limited."

"The focus is very conceptual. I was hoping for more practical examples using software."

"Don't expect deep technical skills though, it's conceptual."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Certified Data Analytics Professional (CDAP) with these activities:

Review 'Data Science for Dummies'

Show steps

Gain a foundational understanding of data science principles to better contextualize the data analytics techniques taught in the course.

View Data Science For Dummies, 2nd Edition on Amazon

Show steps

Read the book and highlight key concepts.
Summarize the main ideas in each chapter.

Review Statistical Concepts

Show steps

Reinforce your understanding of fundamental statistical concepts to better grasp data analysis techniques covered in the course.

Browse courses on Statistical Analysis

Show steps

Review key statistical terms and formulas.
Work through practice problems involving descriptive and inferential statistics.

Review 'Storytelling with Data'

Show steps

Learn how to effectively communicate data insights through compelling visualizations, enhancing your ability to present findings from data analysis.

View Storytelling with You: Plan, Create, and... on Amazon

Show steps

Read the book and take notes on key concepts.
Identify examples of good and bad data visualizations.
Apply the principles to improve your own data presentations.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Complete a Data Cleaning Tutorial

Show steps

Refine your data cleaning skills by following a step-by-step tutorial, ensuring you can effectively prepare data for analysis.

Show steps

Find a tutorial on data cleaning using Python or R.
Follow the tutorial and apply the techniques to a sample dataset.
Document the steps you took and the challenges you encountered.

Analyze and Visualize Public Data

Show steps

Apply data analytics skills to a real-world dataset, reinforcing your understanding of data collection, cleaning, analysis, and visualization.

Show steps

Select a public dataset from a source like data.gov.
Clean and prepare the data for analysis.
Perform exploratory data analysis to identify patterns and insights.
Create visualizations to communicate your findings.

Build an Interactive Dashboard

Show steps

Develop an interactive dashboard using a BI tool to showcase your data analysis skills and create a dynamic reporting solution.

Show steps

Choose a BI tool such as Tableau or Power BI.
Connect to a data source and import relevant data.
Design and implement interactive visualizations.
Create a user-friendly dashboard layout.
Publish and share your dashboard.

Create a Data Visualization Portfolio

Show steps

Showcase your data visualization skills by creating a portfolio of your best work, demonstrating your ability to communicate insights effectively.

Show steps

Select your best data visualizations from previous projects.
Write a brief description of each visualization, explaining the insights it conveys.
Organize your visualizations into a portfolio website or presentation.

Career center

Learners who complete Certified Data Analytics Professional (CDAP) will develop knowledge and skills that may be useful to these careers:

Data Analytics Consultant

A Data Analytics Consultant advises organizations on how to leverage data analytics to improve business performance. This role requires a broad understanding of data collection, storage, cleaning, analysis, and visualization techniques. The course provides a comprehensive foundation in these areas, enabling a Data Analytics Consultant to effectively assess client needs, develop solutions, and implement data-driven strategies. The course's coverage of data visualization is particularly valuable for presenting findings and recommendations to clients. Some consulting roles may require an advanced degree.

See salaries and explore the career path for Data Analytics Consultant

Business Intelligence Analyst

A Business Intelligence Analyst transforms data into actionable insights that inform strategic business decisions. This role demands the ability to collect, clean, analyze, and visualize data, all of which are key components of this course. The course covers data collection methods, data storage solutions, data cleaning techniques, data analysis approaches, and data visualization tools. By understanding how to gather relevant data, manage data storage, rectify errors, uncover patterns, and present findings in a clear manner, a Business Intelligence Analyst can successfully drive informed decision making.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

A Data Scientist uses statistical analysis, machine learning, and data visualization techniques to extract meaningful insights from large datasets. This professional leverages skills taught in the course, such as data collection, data storage, data cleaning, data analysis, and data visualization. The course helps build a foundation in these areas, enabling a Data Scientist to effectively gather data from various sources, manage data storage, prepare data for analysis, uncover patterns using machine learning, and present findings using visualization techniques. The course's coverage of artificial intelligence and machine learning techniques is particularly relevant for any aspiring Data Scientist. This role may require an advanced degree.

See salaries and explore the career path for Data Scientist

Healthcare Data Analyst

A Healthcare Data Analyst analyzes healthcare data to improve patient outcomes, reduce costs, and enhance operational efficiency. This role involves collecting, cleaning, and analyzing data related to patient demographics, medical treatments, and healthcare costs. This course may be useful, providing the skills to transform raw data into actionable insights. The course's coverage of data collection, data cleaning, and data analysis can help a Healthcare Data Analyst with identifying trends and patterns in healthcare data.

See salaries and explore the career path for Healthcare Data Analyst

Supply Chain Analyst

A Supply Chain Analyst optimizes supply chain operations by analyzing data related to inventory, logistics, and demand forecasting. This role requires collecting, cleaning, and analyzing data from various sources, such as suppliers, manufacturers, and distributors. This course can provide valuable skills to a Supply Chain Analyst, offering a foundational understanding of data collection methods, data storage, data cleaning techniques, and data analysis. By understanding how to gather relevant data, prepare it for analysis, and uncover patterns, the Supply Chain Analyst might streamline operations and reduce costs.

See salaries and explore the career path for Supply Chain Analyst

Fraud Analyst

A Fraud Analyst investigates and prevents fraudulent activities by analyzing data and identifying suspicious patterns. This role involves collecting, cleaning, and analyzing data from various sources, such as financial transactions, customer accounts, and online activities. This course may be useful, providing a foundation in data collection methods, data cleaning techniques, data analysis approaches, and data visualization tools. By understanding how to gather relevant data, prepare it for analysis, uncover patterns, and present findings effectively, a Fraud Analyst may be more successful.

See salaries and explore the career path for Fraud Analyst

Marketing Analyst

A Marketing Analyst examines market trends and consumer behavior to advise marketing strategies. This position requires collecting, cleaning, and analyzing data from various marketing channels. The course covers data collection methods, data cleaning techniques, and data analysis approaches. The course may be useful in providing a Marketing Analyst with the skills to evaluate marketing campaigns, understand consumer preferences, and optimize marketing spend by presenting data in a clear and compelling manner. The data visualization tools and techniques taught in the course are particularly relevant for this role.

See salaries and explore the career path for Marketing Analyst

Research Analyst

A Research Analyst gathers, analyzes, and interprets data to inform research projects and studies. This course, with its coverage of data collection methods, data storage solutions, data cleaning techniques, data analysis approaches, and data visualization tools, may be useful in building a foundation for this role. A Research Analyst would benefit from understanding how to gather relevant data from various sources, manage data storage, rectify errors, uncover patterns, and present findings in a clear manner. This role may require an advanced degree.

See salaries and explore the career path for Research Analyst

Data Engineer

A Data Engineer designs, builds, and maintains the infrastructure needed for data storage and analysis. The data storage and data cleaning content covered in this course is extremely relevant to the Data Engineer's responsibilities. The course discusses data warehouse, data backup, and big data technologies. A Data Engineer benefits from understanding how to organize and manage data for optimal access and security, as well as how to ensure data quality through cleaning and validation. This course may be useful for aspiring Data Engineers.

See salaries and explore the career path for Data Engineer

Financial Analyst

A Financial Analyst provides guidance to businesses and individuals in making investment decisions. This role involves analyzing financial data, identifying trends, and creating reports to inform investment strategies. The data analysis and data visualization components of the course may be useful, providing the skills to extract meaningful insights from financial data and present findings in a clear and compelling manner. The course's coverage of data collection and data cleaning helps ensure the accuracy and reliability of the data used in financial analysis.

See salaries and explore the career path for Financial Analyst

Operations Analyst

An Operations Analyst improves organizational efficiency and effectiveness by analyzing operational data and processes. This role involves identifying areas for improvement, developing solutions, and monitoring performance. This course may be useful for Operations Analysts, providing a foundational understanding of data collection, storage, cleaning, analysis, and visualization. By understanding how to gather relevant data, prepare it for analysis, uncover patterns, and present findings effectively, the Operations Analyst could increase the success of their work.

See salaries and explore the career path for Operations Analyst

Risk Analyst

A Risk Analyst identifies and assesses potential risks to an organization, developing strategies to mitigate these risks. This role involves collecting, cleaning, and analyzing data related to financial markets, economic conditions, and regulatory requirements. This course may be useful to a Risk Analyst as they gather data from various sources, prepare it for analysis, and uncover patterns. The material on data validation might be particularly useful to a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Data Architect

A Data Architect designs and implements data management systems, ensuring data is stored, accessed, and processed efficiently. The data storage and data security areas covered in this course are particularly relevant. The course discusses data warehouse, data backup, and big data technologies. The course may be useful in providing the skills to design and implement effective data architectures, ensuring data is readily available for analysis and reporting. This role may require an advanced degree.

See salaries and explore the career path for Data Architect

Actuary

An Actuary assesses and manages financial risks, particularly in the insurance and pension industries. This role requires strong analytical skills and a deep understanding of statistical modeling. The course's coverage of data analysis, including artificial intelligence and machine learning, may be useful to an actuary. Furthermore, skills in data collection and data cleaning can ensure the accuracy and reliability of data used in actuarial models. This role typically requires advanced certification.

See salaries and explore the career path for Actuary

Database Administrator

A Database Administrator manages and maintains databases, ensuring data is secure, accessible, and performs optimally. The course covers data storage, big data technologies, and data security. The topics of data quality, identifying issues, correcting errors, data standardizing, and data validation may be useful to someone wishing to be a Database Administrator. As a Database Administrator, their expertise would ensure the integrity and reliability of organizational data.

See salaries and explore the career path for Database Administrator

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Certified Data Analytics Professional (CDAP).

Storytelling with You

Save

Focuses on the art of data visualization and how to effectively communicate insights through visuals. It covers principles of design, choosing the right charts, and crafting compelling narratives. Since the course includes a module on data visualization, this book provides practical guidance on presenting data in a clear and impactful manner. This book is commonly used by industry professionals.

Storytelling with You: Plan, Create, and Deliver a...

Paperback

Storytelling with You: Plan, Create, and Deliver a...

Kindle Edition

Data Science For Dummies

Save

Provides a broad overview of data science concepts, tools, and techniques. It good starting point for those new to the field and provides a foundation for understanding the more advanced topics covered in the course. It is more valuable as additional reading than it is as a current reference. This book is commonly used as a textbook at academic institutions.

Data Science For Dummies, 2nd Edition

Paperback

Certified Data Analytics Professional (CDAP)

What's inside

Learning objectives

Syllabus

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Reviews summary

Foundational data analytics overview

Activities

Career center

Reading list

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