Quick Guide & Tips

💻   Accessing Utils File and Helper Functions

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Open"

You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above.

💻   Downloading Notebooks

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Download as"

3:   Then, click on "Notebook (.ipynb)"

💻   Uploading Your Files

After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files.

📗   See Your Progress

Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one.

Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view).

📱   Features to Use

🎞   Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed.

🗣   Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish.

🔅   Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality, choose the quality that works the best for your Internet speed.

🖥   Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode.

√   Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again.

🧑   Efficient Learning Tips

The following tips can help you have an efficient learning experience with this short course and other courses.

🧑   Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency.

📅   Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention.

Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals.

☕   Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective.

💬   Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable.

✍   Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects.

📚   Enroll in Other Short Courses

Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇

👉👉 🔗 DeepLearning.AI – All Short Courses [+]

🙂   Let Us Know What You Think

Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view).

Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum

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Welcome back!

Hi ,

We'd like to know you better so we can create more relevant courses. What do you do for work?

DeepLearning.AI
Professional CertificateBeginner106 hours 58 mins

Data Analytics

Instructor: Sean Barnes

DeepLearning.AI

What you'll learn

  • Statistics for real-world decision-making: Learn to calculate and interpret descriptive and inferential statistics to solve business problems.

  • Data visualization and storytelling: Design clear, compelling visualizations that effectively communicate complex data stories to stakeholders.

  • Generative AI for analytics: Leverage generative AI in the data analytics lifecycle, with hands-on labs and guidance on when and how to use AI assistance.

Why Enroll?

Data-informed decision-making is now an essential skill for everyone, from everyday consumer choices to business decisions at all levels. As reliance on data grows, so does the need for professionals who can analyze and interpret it effectively.

The Data Analytics Professional Certificate, led by industry leader Sean Barnes, equips you with the skills to manage the entire data lifecycle, from defining problems to delivering insights. With this certificate, you’ll be prepared to pursue an entry-level role in data analytics or strengthen your current role with a solid foundation in data analysis.

The skills you’ll gain are in high demand, and with data science roles projected to grow 36% from 2023 to 2033 according to the U.S. Bureau of Labor Statistics, developing these skills puts you at the forefront of a data-centric world.

You’ll begin by learning the foundations of analysis and visualization, then move on to statistical techniques that support evidence-based decision-making. Next, you’ll develop Python skills to automate workflows and analyze data at scale (no prior coding experience required!). Then, you’ll work with real-world data to extract information from websites, APIs, and databases, and clean data with Python and SQL to prepare it for analysis.

Finally, you’ll learn to present your analysis in ways that support real decisions through clear writing, compelling visualizations, and interactive dashboards. You’ll also prepare for the job search with practical guidance on resumes, portfolios, and interviews.

Unique to this program is its integration of AI tools into the analytics workflow. You’ll learn to use large language models as a thought partner, accelerating tasks like simulation modeling, formula debugging, and data visualization. Each of the course examples comes from real-world use cases, building practical and immediately useful skills.

Whether you’re a software engineer working with data pipelines, a marketer or business analyst extracting insights, or building a career in data analysis, you’ll gain the foundation to excel in the data economy. Blending core statistical methods with AI-assisted workflows, this program is perfect for beginners entering the field as well as experienced practitioners looking to expand their analytical toolkit.

You’ll earn a certificate for individual courses, and certifying in all of them as they become available will grant you the Data Analytics Professional Certificate

Instructor

Sean Barnes

Sean Barnes

Manager, Title & Launch Management Data Science and Engineering Manager at Netflix

Course Outline

Course 1Course 2Course 3Course 4Course 5

Data Analytics Foundations

This course is part of Data Analytics

Module 1: Data and the data analyst role
Module 2: Using spreadsheets for data analytics
Module 3: Data visualization in spreadsheets
Module 4: The data analytics lifecycle

Build foundational knowledge in data analysis

  • Advanced statistical applications: Move beyond theory to practical implementation of correlation analysis, confidence intervals, and hypothesis testing to solve real business challenges.

  • Effective data-driven communication: Develop the crucial skill of translating complex analytical findings into clear, actionable insights for stakeholders at all levels, a must-have for thriving in cross-functional roles.

  • Future-ready analytics skills: Gain experience in AI-augmented workflows, preparing you for the cutting edge of data analytics, using AI to help speed up and improve analysis.

Skills you will gain

Who this course is for

  • Aspiring Data Analysts: Build the essential skills needed to land roles like Data Analyst, Business Intelligence Analyst, Operations Analyst, or Data Specialist positions
  • Software Engineers: Enhance your technical toolkit with data analysis capabilities to build more insightful applications or transition to data-focused engineering roles
  • Marketing Professionals: Add data-driven decision making that transforms how you develop campaigns and measure performance
  • Business Professionals: Develop quantitative expertise to leverage analytics in your current role, whether in product, operations, or management
  • Career Changers: Create a portfolio of real-world data projects like forest fire prevention, customer retention, and product selection analyses

Everyone Curious About How to Make Use of Data: Learn to make sense of data and drive evidence-based decisions in both professional and personal contexts

Develop job-ready skills and prepare for a career in data analytics – no prior experience required.

Learner reviews from other DeepLearning.AI courses

Selami A.

What I loved about the “AI for Everyone” course was the comprehensive coverage of essential AI topics, guided by the expertise of Andrew Ng. The course provided a clear roadmap for initiating and managing AI projects, from project selection to implementation. It also offered insights into building AI teams and introduced the technical tools necessary for AI success

Chris C.

Simple enough to make it easy to understand in spite of being a complex topic, inspiring speaker. Time well spent, and a good fit with “lifelong learning” approach.

Adeel B.

What stood out to me about this course was the clarity and simplicity with which complex AI concepts were explained. The real-life examples and case studies helped me grasp the practical implications of AI in different sectors. The interactive nature of the course made learning engaging and enjoyable.

Krystal L.

I am an educator and looking to incorporate AI into my career and help my colleagues to do the same. The course did a great job explaining AI concepts to people like myself who are just learning about any of this for the first time.

John S.

I took this course purely out of curiosity. After becoming aware of ChatGPT and Midjourney and then taking a short course on engineering the prompts to get the desired result, I became more intrigued with the topic of AI. I found this most helpful with regards to getting an idea about what AI actually is as opposed to what Hollywood conditioned me to believe it might be.

Muhammad S.

Loved the content. It brought simplicity to the complex topic of AI, separated signal from noise, presented a great flow and covered the most relevant topics.

Andrew’s knowledge and passion about the subject of AI was amazing. It was inspiring to listen to him, even via recorded videos. Its really great to be in this era of technology, as it makes it possible to get access to the wealth of knowledge so easily.

Learner Reviews

Frequently Asked Questions

How long is the course?

The course is designed to be completed in about a month, with an estimated commitment of 5 hours per week.

Can I take this course at my own pace?

Yes, the course is designed to be self-paced.

What kind of support is available?

Access to discussion forums, detailed documentation, and resources to support your learning.

Is there a certificate upon completion?

You will receive a certificate at the end of each course if you pay or receive financial aid for the courses and complete the assessments. There is a limit of 180 days of certificate eligibility, after which you must re-purchase the course to obtain a certificate. If you audit the course for free, you will not receive a certificate.

If you complete all 3 courses in the Professional Certificate, you will also receive an additional certificate showing that you completed the entire Professional Certificate.

I have questions about my subscription of this Professional Certificate, whom can I ask?
How much does this Professional Certificate cost?

A Coursera subscription costs $49 / month.

Can I apply for financial aid?

Yes, Coursera provides financial aid to learners who cannot afford the cost of a subscription.

Can I preview the Professional Certificate?

Yes! You can preview the course for free by accessing the entire first module at no cost. This allows you to explore the learning experience before deciding if you’d like to continue. If you want full access to all modules, assessments, and the certificate of completion, you’ll need to upgrade to the paid version.

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