Python for Data Science: Quick Start Edition course

In this course,
you'll learn

Python Basics for Data Science

Set up your development environment, grasp core Python concepts, and learn how to work with essential data types and variables.

Data Structures and Manipulation

Master lists, tuples, and dictionaries to organize data effectively. Automate tasks and process data efficiently using for loops.

Practical Data Handling

Load common data formats (CSV, Excel), explore your data, and apply techniques to clean and transform it for analysis.

Introduction to Key Libraries

Discover the power of NumPy and Pandas for numerical operations, data manipulation, and creating basic visualizations.

Your instructor

Tatev Aslanyan

Tatev brings industry experience, advanced AI/ML degrees, and a reputation as a thought leader in data science to LunarTech. Her publications in top journals and presentations at international conferences showcase her expertise.

Trusted by over 10.000 students

Course program

Here's a glimpse of what you'll learn throughout the course

Module 1

Python Foundations

Discover why Python is the go-to language for data science and get started by setting up your development environment with PyCharm (or your preferred IDE). Learn the core building blocks of Python, including essential data types like numbers, strings, booleans, and how to work with variables.

Module 2

Core Data Structures

Master the fundamental data structures you'll use daily: lists, tuples, and dictionaries. Learn how to create, manipulate, and access elements within these structures to organize and work with your data effectively.

Module 3

Iteration with For Loops

Learn to automate tasks and process data efficiently using for loops. Understand how to construct basic and nested loops (loops within loops) to perform more complex data operations.

Module 4

Working with Data

Discover how to load common data formats like CSV and Excel files into Python for analysis. Learn essential techniques to explore, clean, and transform your data, preparing it for further analysis.

Module 5

Essential Data Science Libraries

Get introduced to the powerhouse libraries NumPy and Pandas, the backbone of data analysis in Python. Learn to perform numerical operations and data manipulation, and start creating simple visualizations with Matplotlib or a similar library.

Module 6

Next Steps and Building Your Portfolio

Apply your newfound skills in a hands-on mini-project, working with a real-world dataset. Get guidance on continuing your data science learning journey with curated resources and learn how to create a compelling portfolio to showcase your Python abilities for potential employers.

Hear from Our Graduates

At LunarTech, we're proud of the successes of our students. Here's what some of them have to say

“LunarTech is gold. I wanted to learn machine learning as a beginner and LunarTech cleared my mind. After engaging with LunarTech's content, I have a clear vision and now I can proceed further on my own.”

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“At 38, the tech world felt like foreign territory until this course from LunarTech illuminated the path. In six months, I transitioned from an absolute beginner to receiving multiple job offers.”

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“LunarTech's course prepared me for real-world challenges, going beyond traditional learning methods. It instilled in me the confidence to pursue and attain a position at my dream company.”

Verified Youtube User

“Facing self-doubt, this course was a turning point. LunarTech's comprehensive curriculum and supportive community laid the groundwork for my transformation from a hopeful learner to a proficient.”

Verified Youtube User

“This course honed my abilities for the competitive job market, and I credit it with helping me ace my software engineer interviews and kickstart my career.”
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Why choose us

Focus on Your Success

LunarTech is invested in your goals, with personalized learning plans and support structures to help you overcome challenges.

Industry-Aligned Curriculum

Our courses are constantly updated to reflect the latest tools, techniques, and in-demand skills employers are seeking.

Hands-On Practice

Study on your schedule. SkillSprint is accessible 24/7, so you can learn at your pace, anytime, anywhere.

Flexible Learning

Study at your own pace, from anywhere and at any time, on your terms.

Certificate of Completion

Receive a SkillSprint certificate to showcase your new skills.

Lifetime Alumni Network

Even after graduation, stay connected to the LunarTech community for ongoing support, job opportunities, and industry insights.

Frequently asked questions

Need help? Check out our FAQ section for quick and easy solutions.

Is the investment in your Data Science Bootcamp really worth it?

Our data science bootcamp is designed to provide you with the most comprehensive and relevant curriculum available . Enroll now and you’ll get immediate access to valuable resources, including expert guidance from experienced professionals and a supportive community of like-minded learners.

Let’s do the math together:

Our bootcamps cost $149.97 for 30 days, $99.97 monthly for 180 day-plan Semi-Annually, $79.97 monthly for 365 day-plan Annual plan.

That breaks down to:

max $149.97/30 = $4.93 per day

mid $99.97/30 = $3.33 per day

min $79.97/30 = $2.67 per day

That’s less than the cost of a daily Starbucks coffee! And while coffee might give you a quick energy boost, our bootcamp will provide you with long-term knowledge and skills that can enhance your career opportunities. Don’t miss out on this cost-effective and valuable opportunity.

What does the free trial include?

Our 3-day free trial gives you access to selection of content in bootcamp, courses and materials, designed for you to experience the value of our content firsthand. This includes comprehensive learning materials and interactive sessions. You won’t be charged during this period, though we require your credit card details at the start to ensure a seamless transition should you choose to continue with our service.

Will I need to enter my credit card details to start the free trial?

Yes, entering your credit card details is a necessary step to begin your free trial. This process is entirely secure, ensuring total privacy and safety of your information. We ask for this to provide a seamless transition to a paid subscription if you decide to continue beyond the free trial. You will only be charged after the trial period ends, granting you full access to our content based on the chosen subscription plan.

What happens after my free trial ends?

After your 3-day free trial, you’ll gain access to the full breadth of our content, contingent upon the subscription plan you choose. We offer free trials for our monthly, biannual, and annual plans. Each plan provides a different scope of access and benefits, ensuring that you find the perfect fit for your learning journey.

What should I do if my employer agrees to pay for my subscription?

If your employer has agreed to fund your learning journey, whether partially or in full, please contact us at tk.lunartech@gmail.com or info@lunartech.ai. We’ll work closely with you and your employer to set up everything needed for your subscription, ensuring a smooth and hassle-free process.

Is there support available if I have questions during my free trial or after subscribing?

Yes, our commitment to exceptional customer support remains strong both during your free trial and after you’ve subscribed. You can reach out to our support team via tk.lunartech@gmail.com or info.lunartech.ai for assistance with any questions or issues, whether you’re in the onboarding process, navigating your trial, or need help as a subscribing member. Plus, subscribers to our yearly plan receive dedicated support during their one-on-one sessions.

Can I change my plan later on?

Absolutely, you can upgrade your plan at any time during your subscription. However, downgrading is not available for bi-yearly or yearly; you can opt to cancel and then choose a new plan that better suits your needs. For those on biannual or annual plans, we offer the convenience of paying in installments, making it easier to manage payments, please reach out to us to learn more.

Python for Data Science: Quick Start Edition