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TidyCal VS Data Science from Scratch

Compare TidyCal VS Data Science from Scratch and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

TidyCal logo TidyCal

Optimize your schedule with custom booking pages and calendar integrations

Data Science from Scratch logo Data Science from Scratch

Data Science and Python, starting at zero
  • TidyCal Landing page
    Landing page //
    2023-05-15

Scheduling a meeting shouldn’t require endless rounds of email tag just to find a time that works for all your stakeholders. (“Next month is a no-go, too. Should we try for 3 p.m. CT next year?”)

It’s hard enough to find work-life balance when you’re manually coordinating across time zones and merging details from your work and personal calendars.

You need a stress-free way to manage meetings across all your calendars.

  • Data Science from Scratch Landing page
    Landing page //
    2019-07-07

TidyCal features and specs

  • Affordability
    TidyCal is known for its budget-friendly pricing compared to other scheduling tools, making it accessible for small businesses and individual professionals.
  • User-Friendly Interface
    The platform is designed with simplicity in mind, making it easy for users to set up and manage their schedules without a steep learning curve.
  • Integration Capabilities
    TidyCal integrates with popular calendar services like Google Calendar, ensuring seamless synchronization and reducing the chances of double bookings.
  • Customizable Booking Pages
    Users can create personalized booking pages with customizable branding options, enhancing the professional appearance for clients.
  • Automated Reminders
    The tool includes features that automatically send reminders to both hosts and participants, reducing the likelihood of missed appointments.

Possible disadvantages of TidyCal

  • Limited Advanced Features
    Compared to more established competitors, TidyCal lacks some advanced scheduling features, such as detailed reporting and analytics.
  • Scalability Issues
    While suitable for small businesses and individuals, TidyCal may not scale effectively for larger organizations with more complex scheduling needs.
  • Fewer Integrations
    The range of third-party integrations is more limited compared to other scheduling tools, which could be a drawback for users reliant on a wide array of software solutions.
  • Basic Customization
    Though it offers some customization options, they are relatively basic, which may not meet the needs of users looking for more extensive personalization.
  • Customer Support
    Some users have reported that customer support response times and solutions are not as robust as those offered by leading competitors in the scheduling software market.

Data Science from Scratch features and specs

  • Hands-On Learning
    The book encourages a practical approach to learning data science by implementing algorithms and concepts from scratch, helping readers understand the underlying mechanics.
  • Comprehensive Coverage
    It covers a wide range of fundamental topics in data science such as statistics, data visualization, linear algebra, and machine learning, providing a solid foundation.
  • Python-Based
    Since the book is centered around Python, a popular programming language in data science, it is accessible to a large audience already familiar with Python.
  • Developer-Friendly
    The content is ideal for developers looking to transition into data science, as it focuses on programming and algorithmic aspects of data science.

Possible disadvantages of Data Science from Scratch

  • Steep Learning Curve
    Beginners may find the approach challenging if they do not have prior programming experience in Python or understanding of mathematical concepts.
  • Lack of Real-World Applications
    The focus on building from scratch may lack the practical application perspective and real-world examples that some learners might seek.
  • Outdated Information
    As data science is a rapidly evolving field, some methodologies, tools, or libraries discussed might be outdated or less common in the industry today.
  • Less Emphasis on Tools
    The book emphasizes building concepts from scratch over familiarizing readers with powerful existing data science libraries and tools like TensorFlow or PyTorch.

TidyCal videos

+ Add

Your calendar app for scheduling and booking meetings TidyCal

More videos:

  • Tutorial - TidyCal Review & Tutorial | How to Schedule A Meetings Like a PRO
  • Review - TidyCal Review By Appsumo Originals 🌟 (Timecodes Included) | Shehraj Singh

Data Science from Scratch videos

+ Add

Data Science from Scratch by Joel Grus: Review | Learn python, data science and machine learning

More videos:

  • Review - Data Science Full Course 2020 | Data Science For Beginners | Data Science from Scratch | Simplilearn

Category Popularity

0-100% (relative to TidyCal and Data Science from Scratch)

TidyCal

Data Science from Scratch

Productivity
100 100%
Productivity
0% 0
AI
0 0%
AI
100% 100
Appointments and Scheduling
100 100%
Appointments and Scheduling
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using TidyCal and Data Science from Scratch. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, TidyCal seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TidyCal mentions (1)

  • Appointment Booking Issues - what tool would be best?
    We use https://tidycal.com/ because you get a lifetime deal when you buy it and you can sync your calendar with it, so if you or your partners are already booked, it will not allow someone to book during that timeslot. Source: over 2 years ago

Data Science from Scratch mentions (0)

We have not tracked any mentions of Data Science from Scratch yet. Tracking of Data Science from Scratch recommendations started around Mar 2021.

What are some alternatives?

When comparing TidyCal and Data Science from Scratch, you can also consider the following products

Cal.com - Cal.com (formerly Calendso) is the open source Calendly alternative.

Gyana - Intuitive easy-to-use report and dashboard tool to stop wasting time on repetitive and tedious tasks.

Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.

Deepnote - A collaboration platform for data scientists

SavvyCal - A scheduling tool both the sender and the recipient will love.

Amie - GitHub for research and data science

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