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Data Analytics
Specialization

Obtain full proficiency in data analysis using Python and SQL.

 Be a Data Analytics Specialist

 Be a Data Analytics Specialist

Get in touch with our friendly team of English and Bahasa Indonesia-speaking consultants to enroll in the Data Analytics Specialization!

Data Analytics Specialization details :

Data Analytics Specialization is a course that is light in theory and perfect for beginners/non-programmers who are looking to learn data analysis. The course has an easier learning curve and takes a more accessible approach by getting participants to understand the “how” part first, rather than a detailed breakdown of the “why”. It is modeled after real-world Analytics apps, with elements of storing and querying from SQL, preprocessing with pandas, reshaping data, and producing visualization. An example of an application that uses all of these elements we teach is pedagogyapp.com.

In this program, students will learn how to use the Python programming language for Data Analysis. Students are frequently prompted to write short snippets of code continually before explaining the underlying theoretical frameworks. Instead of mastering the syntactic design of the Python programming language, then moving into data structures, and then the pandas library, and then the mathematical details in an imputation algorithm, and its code implementation; we would do the opposite: Implement the imputation, then a brief explanation of why it works and applicational considerations (what to look out for, what are assumptions it made, when not to use it, etc).

Courses in Data Analytics Specialization:

Program Receivables:

  • Cutting Edge Curriculum

    A hands-on coding bootcamp with the opportunity to work on real datasets donated by businesses and the public sector. Coursebooks (PDF/HTML files), data set for practice, reference notes, and working files (R Notebook or Jupyter Notebook) are accessible through our Learning Management System account.

  • Project-Oriented Learning

    Work with real-life cases and learn under the assistance of our qualified instructors throughout the 1-month course.

  • Certification of Completion

    Show current and prospective employers that you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.

  • Engaging Community

    Be a part of our data-passionate community with 5000+ members and 300+ alumni.

A STRUCTURED APPROACH TO LEARNING DATA SCIENCE

The Data Analytics Specialization is a 4-week bundle curated to accelerate a student’s mastery in building data products, developing a web application, and data visualization.

Students are not assumed to have a working knowledge of Python /SQL or prior proficiency in statistics/mathematics/algebra. The workshop follows a gentle learning curve and emphasizes hands-on, one-to-one tutoring from our team of instructors and teaching assistants. Our Data Visualization and Machine Learning Specialization are available for anyone looking for more intermediate-level materials and who prefers to learn from first principles.

Throughout the course, you will learn to build, evaluate and deploy your data science products, one project after another.

Learn data analysis by building:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Frequently Asked Questions

Yes. This program is open for those who do not have any previous IT or programming background, which enables the program to be beginner-friendly.

The Data Analytics Specialization is addressed to beginners until the intermediate level. The output of this program is to ensure that graduates have the right skills to:

  • Collect, clean, process and analyze data, visualize data, and create interactive dashboards.

For the Data Analytics Specialization, students must be able to commit to a total of 51 hours in the span of 17 days (with 3 hours each day). The class will be held between 18:00-21:30 during the week. Students should expect to spend some time outside of the learning hours and over weekends to complete project work.

Yes. We work with various loan partners to provide you with financing options.

JOIN NOW

Starts on December 2, 2024!

(Application Deadline: November 29, 2024)