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Python for Data Science

Learn how to use Python effectively for data analysis, visualization, and real-world machine learning applications.
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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Python for Data Science is a comprehensive, beginner-friendly online course designed to equip learners with the practical skills required to analyze, visualize, and draw insights from data. This course is ideal for students, professionals, and aspiring data scientists who want to leverage Python’s power to work with real-world data in meaningful ways.
 
The course starts from the basics and progresses to advanced concepts in data analysis and machine learning using Python. With a project-based learning style, you will gain hands-on experience using popular libraries like NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and more.
 
By the end of the course, you'll be confident in your ability to clean and process data, generate insights using visualization, and build machine learning models for predictions and classifications.
 
What You Will Gain
 
You’ll develop skills through practical projects such as:
  • Exploratory data analysis on large datasets

  • Building predictive models with scikit-learn

  • Creating dashboards and data visualizations

  • Performing feature engineering and data cleaning

Who This Course is For
  • Beginners in data science and analytics

  • Python developers transitioning into data roles

  • Students preparing for data science careers

  • Professionals aiming to upskill in data analysis

  • Freelancers and entrepreneurs handling data-heavy tasks

How to Use This Course Effectively
  1. Follow the sequence of modules for a structured experience

  2. Code along with examples for better retention

  3. Practice with the datasets provided in each project

  4. Take notes on libraries, methods, and error-handling techniques

  5. Participate in the discussion forums and ask for feedback

  6. Revisit key concepts and improve existing projects as you progress

Why Learn Python for Data Science?
 
Python is the most widely used language in data science due to its simplicity and the extensive ecosystem of tools. This course will make you confident in using Python for all major data tasks, including cleaning, visualization, and machine learning, setting a solid foundation for advanced AI or analytics careers.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

    • 01:20
Course Objectives Back to Top

By the end of the course, you will be able to:

  • Work with Python for data manipulation and analysis

  • Use libraries like Pandas and NumPy to manage structured data

  • Perform data visualization using Matplotlib and Seaborn

  • Apply machine learning techniques using Scikit-learn

  • Conduct real-world data analysis projects

  • Interpret model results and evaluate performance

Course Syllabus Back to Top

Course Syllabus

Module 1: Introduction to Python and Data Science

  • Python syntax and Jupyter Notebook setup

  • Variables, loops, functions

Module 2: Working with NumPy

  • Arrays and mathematical operations

  • Broadcasting and reshaping

Module 3: Data Manipulation with Pandas

  • DataFrames, Series, Indexing

  • Filtering, merging, and groupby operations

Module 4: Data Cleaning

  • Handling missing values

  • Data type conversion

  • Duplicates and outlier removal

Module 5: Data Visualization

  • Basic plots using Matplotlib

  • Statistical plots with Seaborn

  • Interactive plots with Plotly

Module 6: Exploratory Data Analysis (EDA)

  • Correlation analysis

  • Trend detection

  • Feature distribution

Module 7: Introduction to Machine Learning

  • Supervised vs unsupervised learning

  • Scikit-learn workflow

Module 8: Building ML Models

  • Regression and classification

  • Model training and testing

  • Cross-validation

Module 9: Model Evaluation

  • Accuracy, precision, recall, F1-score

  • ROC curve and confusion matrix

Module 10: Capstone Project

  • End-to-end data science workflow

  • Final presentation and peer review

Certification Back to Top
Learners who complete all modules and final projects will receive a Certificate of Completion from Uplatz. This certificate validates your skills in data analysis, visualization, and beginner-level machine learning using Python.
Career & Jobs Back to Top

After completing this course, you’ll be ready for roles such as:

  • Junior Data Scientist

  • Data Analyst

  • Machine Learning Intern

  • Python Developer in Data Teams

  • Data Science Research Assistant

Interview Questions Back to Top
  1. What are the key differences between NumPy arrays and Python lists?

  2. How do you handle missing values in Pandas?

  3. What is the difference between .loc[] and .iloc[] in Pandas?

  4. How do you choose the right evaluation metric for a classification problem?

  5. What’s the difference between overfitting and underfitting?

  6. Explain the difference between regression and classification.

  7. What is the role of feature scaling in machine learning?

  8. How does a decision tree algorithm work?

  9. What is cross-validation and why is it important?

  10. How can you visualise the correlation between multiple variables?

Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".

Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.



BUY THIS COURSE (USD 17 USD 41)