365 Data Science is an online platform dedicated to providing comprehensive training in data science and artificial intelligence. Their curriculum is designed to equip learners with the technical skills and soft skills necessary for success in the dynamic job market.
Key Features:
Diverse Course Offerings: The platform offers over 85 courses covering topics from statistics and programming to machine learning and AI. These courses cater to various proficiency levels, from beginners to advanced learners.
Career Tracks: Structured learning paths are available for roles such as Data Scientist, Data Analyst, and Business Analyst, providing a clear roadmap to career advancement.
Hands-On Projects: Learners can engage in real-world data projects, bridging the gap between theoretical knowledge and practical application.
Certification: Upon course completion and passing the respective exams, students receive industry-recognized certificates, enhancing their professional profiles.
Flexible Learning: The self-paced nature of the courses allows learners to study at their convenience, accommodating various schedules and learning preferences.
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Comprehensive Learning Paths: Whether you're a beginner or looking to specialize, 365 Data Science offers structured career tracks for roles like Data Scientist, Data Analyst, or Business Analyst.
Wide Range of Courses: The platform covers everything from fundamental statistics and Python programming to advanced topics like machine learning, deep learning, and business intelligence tools.
Self-Paced Learning: Study at your own convenience with lifetime access to purchased courses and flexibility to revisit topics anytime.
Real-World Projects: Gain practical experience by working on industry-relevant projects that help build your portfolio.
Certification: Earn certificates upon completing courses and passing exams, which can enhance your resume and LinkedIn profile.
Affordability: Competitive pricing with frequent discounts and free introductory content makes it accessible to learners worldwide.
Expert Instructors: Learn from experienced professionals who provide in-depth insights into the field of data science.
Supportive Community: Access forums, Q&A sessions, and direct customer support to assist you throughout your learning journey.
73% Off Annual Plan: Use the code HSCOUT73AZLDP to receive a 73% discount on the annual subscription.
60% Off Annual Plan: Apply the code YTTINA60A at checkout for a 60% discount on the annual plan.
57% Off Annual Subscription: Enter the code KNN to get a 57% discount on the annual subscription.
25% Off Data Science Courses: Use the code MRXG9BF to enjoy a 25% discount on data science courses with top industry experts.
15% Off Monthly Plan: Apply the code CR15ABM to receive a 15% discount on the monthly subscription plan.
Visit the Website: Go to 365 Data Science.
Explore Courses or Plans: Browse the available courses or choose a subscription plan that suits your learning needs. Options usually include monthly or annual plans.
Select Your Plan: Once you find the desired course or plan, click “Get Started” or “Subscribe Now.”
Create an Account: If you’re a new user, you’ll need to sign up using your email address. Returning users can log in with their existing credentials.
Apply a Coupon Code (Optional): On the checkout page, look for a field labeled "Promo Code" or "Coupon Code." Enter a valid code to get a discount.
Provide Payment Information: Fill in your payment details. Accepted methods typically include credit/debit cards and PayPal.
Review Your Order: Double-check the order summary to ensure everything is correct.
Complete the Purchase: Click “Confirm” or “Subscribe” to finalize your order. You’ll receive a confirmation email with your payment receipt and course access details.
Log into Your Account
Visit the 365 Data Science website and log in using your credentials.
Access the Account Settings
Navigate to your profile or account settings by clicking on your profile icon, typically located in the top-right corner of the screen.
Go to Subscription Management
Look for a section labeled “Subscription” or “Billing.” This is where you can view your active plan details.
Cancel the Subscription
Click on the “Cancel Subscription” option. You may need to confirm your choice by selecting a reason for cancellation or re-entering your account password.
Confirm the Cancellation
Once confirmed, you’ll receive an email verifying the cancellation. You will retain access to your subscription until the end of the current billing period.
Use Promo Codes: Always check for available discount codes online before subscribing. Codes often provide substantial savings on both monthly and annual plans.
Opt for Annual Plans: Choosing an annual subscription can save you up to 73% compared to paying monthly.
Wait for Sales: Look out for seasonal sales like Black Friday, Cyber Monday, or New Year promotions, when 365 Data Science offers significant discounts.
Leverage Free Courses: Start with their free plan to explore the platform and learn some basics before committing to a paid subscription.
Bundle Offers: Enroll in a career track or multiple courses instead of standalone ones to maximize value.
Refer Friends: Some platforms offer referral discounts or credits. Check if 365 Data Science rewards referrals.
Student Discounts: If you’re a student, reach out to their support team to see if any additional discounts are available.
Subscribe to Newsletters: Sign up for their email updates to get notified of exclusive deals and early-bird discounts.
Refund Eligibility: Refunds are typically available only for unused subscriptions or under specific conditions. Check the terms at the time of purchase.
Refund Request Timeline: Refund requests must be made within a certain timeframe, such as 7–14 days after purchase. Verify the exact window on their website.
Partial Refunds: If you’ve used the service, a full refund may not be granted. Partial refunds depend on the extent of access or usage.
Non-Refundable Purchases: Special promotions or discounted plans might not be eligible for refunds. Read the offer terms carefully before buying.
Cancellation and Access: If you cancel, you retain access to the platform until the end of the billing period, but no refunds are provided for mid-term cancellations.
Contact for Issues: Reach out to their customer support team at [email protected] for any refund-related queries.