Become a Data Scientist

The course examines different approaches to a data analysis project, with a framework for organizing an analytical effort, and covers how to obtain and manipulate the raw data for use, as well as the basic exploratory analysis and common data analysis techniques such as regression, and simulation, estimation, and forecasting.

Matt Harrison

Data Science | core | 30 hours 15 minutes

Discussions

Overview

2.2KSTUDENTS^*

94%RECOMMEND^*

This Journey includes:

30 hours of on-demand video
18 modules
Core level
Direct access/chat with the instructor
100% self-paced online
Many downloadable resources
Shareable certificate of completion

Staring with some fundamentals about "what is data science," and "who is a data scientist," the program rapidly moves into the specific challenges of data science. This includes the challenges of problem definitions and collecting data, data pipelines, data preparation, data cleaning, and related subjects. The course examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out an analysis. The course covers how to obtain and manipulate the raw data for use, as well as the basic exploratory analysis and common data analysis techniques such as regression, simulation, estimation, and forecasting.

Skills You Will Gain

Pandas

Python

R and RStudio

Learning Outcomes (At the end of this program you will be able to)

Develop solutions to real-world machine learning problems
Explain and discuss the essential concepts of machine learning and in particular deep learning
Implement supervised and unsupervised learning models for tasks such as forecasting, predicting and outlier detection
Perform independent analysis of data
Understand use and navigate R Studio and R
Implement various algorithms for their needs and improve/modify existing algorithms/techniques for data analysis

Who Should Attend

Anyone who wants to learn about using Python to build, evaluate or deploy machine learning and Artificial Intelligent models.
Scientists, engineers, business analysts, research who explore and analyze data and wish to present their findings in well-formatted textual and graphical forms.

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

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Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

^*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.