Complete Data Science Training

THE 365 DATA SCIENCE PROGRAM

Learn SQL, Python, R, data visualization, statistics, machine learning. Practice with real-life exercises.
All this in one comprehensive self-paced program.

WHAT YOU GET WITH OUR PROGRAM

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    17 Courses
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    70 h of video
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    500 Exercises
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    Certificate

Intro to Data and Data Science

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    2 hours of video
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    10 exercises

Introducing you to the field of data science and building your understanding of the key data science terms and processes.

Introduction to Microsoft Excel

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    6 hours of video
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    27 exercises

Giving you the skills to crunch numbers in Excel; even in data science, smaller datasets are faster preprocessed in Excel than Python, R or SQL.

Advanced Microsoft Excel

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    6.5 hours of video
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    132 exercises

Teaching you how to setup pivot tables and analyze data with filters and calculated fields, as well as advanced Excel tools like function keys, multiple sheets, and circular references.

Probability

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    3 hours of video
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    36 exercises

Teaching you the probability theory necessary to think like a data scientist. You will learn about expected values, combinatorics, Bayesian notation, and probability distributions.

Statistics

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    3.5 hours of video
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    96 exercises

Covering descriptive & inferential statistics and hypothesis testing techniques and exercises; statistics puts the “scientist” in data scientist.

Tableau Visualizations

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    1.5 hours of video
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    10 exercises

Teaching you how to tell compelling stories with data by building accessible visualizations and dashboards. Present complicated results to non-technical audiences.

SQL

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    10 hours of video
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    63 exercises

Equipping you with the essential data science skills to effectively manage relational databases by extracting, transforming, and loading your data.

SQL + Tableau

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    1.5 hour of video
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    10 exercises

Combining two expertises for a powerful integration: extract information from multiple databases using Tableau while coding in SQL.

Introduction to Python

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    2.5 hours of video
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    40 exercises

Laying the foundations of programming in Python to prepare you for deploying machine and deep learning algorithms later in the training.

Mathematics

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    1 hour of video
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    12 exercises

Teaching you the linear algebra you need for the true data science expertise of developing powerful machine learning models.

Introduction to R Programming

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    6.5 hours of video
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    36 exercises

Providing you with the skills to manipulate, analyse, and visualize data with the best programming language for statistical analysis for data science.

Machine Learning with Python

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    4.5 hours of video
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    25 exercises

Sharpening your predictive modelling skills to differentiate you as a data scientist instead of a data analyst; covering regressions, classifications, and clustering.

Deep Learning with TensorFlow

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    5.5 hours of video
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    28 exercises

Building on everything covered in the program to teach you how to develop, implement, and deploy complicated machine and deep learning algorithms (with TensorFlow).

Deep Learning with TensorFlow 2.0

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    5.5 hours of video
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    28 exercises

Helping you learn and practice advanced deep learning techniques with TensorFlow 2.0 code and syntax. Complete with new TF2 exercises and projects.

SQL + Tableau + Python

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    3 hours of video
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    10 exercises

Building on you SQL + Tableau expertise, this course provides you with the skills to also do complex preprocessing and agile real-time machine learning.

Credit Risk Modeling in Python

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    7 hours of video
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    52 exercises

Teaching you the programming behind how banks decide who should get a loan. You will learn risk modeling theory and advance your Python modeling skills.

NEW COURSE!!!

Time Series Analysis in Python

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    5.5 hours of video
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    17 exercises

Introducing you to the world of time series and exploring how to utilize Python in analyzing and modeling such data. We will also discuss volatility and making forecasts about the future.

PROGRAM OVERVIEW

The 365 Data Science program is intended for people who are interested in a career in data science but have no prior experience as data scientists. This training is a structured all-around solution to acquire and perfect the key data science skills necessary to enter the field. It is developed with the end goal of getting the job if you are starting from zero knowledge. Build up on each newly acquired skill with the next logical one, starting from mathematics and statistics and reaching machine and deep learning algorithm implementation using state-of-the-art frameworks such as TensorFlow.

WHAT DO OUR STUDENTS SAY

Alexander

Of all the online courses I have taken, this is definitely the best one so far. A great upbeat voice, very comprehensible visualisations, practically relevant, and very pleasant. Very well structured and lectures are in a good sequence. I have never before looked forward as much to spending my evenings studying.

John

The pace is excellent. The small, focused sections build up your knowledge at a manageable rate. You do need to pay attention though, the course does not assume that you have stopped thinking for yourself.

Adballah

I am a Data Science Msc Student who has dealt with statistics for more than one year. I had never found such flawless, intuitive and progressive content as I have in this course. It works for me as an essential refresher in my ML studies. I recommend this course to every person in the domain I meet, also to students asking for advice through Linkedin. Impressive work.

WHO ARE THE INSTRUCTORS

PRICING

FREQUENTLY ASKED QUESTIONS

The curriculum is completely self-paced. Moreover, you are not obliged to follow the order of the courses we have suggested. If you wish, you may directly jump into the more advanced topics!

With “Start for free”, you get a preview of the courses: 6 hours of video and 50 exercises. This is just a small part of the complete program which comprises 53 hours of video lessons and 370 exercises. The preview serves as a free trial to get you acquainted with our teaching style and the different topics we cover.

To benefit from the complete data science program, you need to subscribe to the monthly or the annual plan. The difference between them is the frequency of payment.

1. If you choose the monthly plan, you will be subscribed and your credit/debit card will be billed each month with the same amount: $36/m. Once you cancel your subscription, you will have access to the courses for 30 days after your last payment.

2. If you choose the annual plan, you will be subscribed and your credit/debit card will be billed once per year. Essentially, you will be prepaying for 12 months.

Choosing this option, you will get a reduced price amounting $29/m or 20% off the monthly plan. If you cancel your subscription, you will still have access for 365 days after your last payment. Apart from that, the annual plan includes Resume and Portfolio support from us, providing you with much more value!

Wondering which plan to choose?

If you pay monthly, you will be able to unsubscribe whenever you want and then subscribe back. For instance, if you believe you will be unavailable for learning in August, you can subscribe for a month in July, then unsubscribe for August and subscribe back in September. That’s the flexibility that the monthly payment gives you. If you pay annually, you won’t have this advantage, but you will get a 20% overall discount and Resume and Portfolio support from us.

Every 30 days, the monthly subscription amount will be automatically deducted from your account.

If, for instance, you were billed on May 23rd but you no longer wish to be subscribed you can do so from the platform or simply write us an email at: team@365datascience.com.

Unhappy with the purchase? Don’t worry – we have a 30-day refund policy. Within 30 days of your initial subscription, you can ask for a refund. Just send us an email at: team@365datascience.com and we will refund your purchase. Effectively, you will lose access to the materials and your money will be returned straight into the bank account you used for the purchase. Please allow for 3-7 business days until you see the amount on your balance depending on your country and bank.

You will receive an automated invoice only for your first payment.

To continue receiving invoices, please send us an email at team@365datascience.com. Note that the invoices will contain all required information for EU VAT purposes.

You can cancel your subscription at any point.

By doing so, we will no longer bill you automatically and you will still have access to the content for a period of 30 days after your last payment.

After the 30 days have passed you will no longer have access to the content.

At this stage, you can decide to subscribe again for another 30 days. This will allow you to also take breaks. For instance, you can study for 30 days, then have 15 days break (without paying) and then subscribe again.

If you subscribe for 1 year and finish before that, you will still have access to all resources until the end of that 1-year period. Therefore, you will not receive compensation for the fact you finished before the end of your annual subscription.

No, there are no prerequisites for enrolling.  Everything you need to know is included in the program.

We start the whole learning process from scratch. This is one of the things that make us different from other platforms that consider mathematics and statistics a prerequisite.

We explain it all, step-by-step, including how to download and install the necessary software (e.g. Excel, Anaconda, Jupyter Notebook, Python, R, MySQL, Tableau Public, etc.)

This is one of the ‘harder’ questions.

What usually happens is that most students prefer to pick the parts that are interesting/relevant for them. Therefore, we cannot really give you an exact number as the concept of ‘completing the program’ seems different for every student.

However, there are several main factors which drive the duration:

1) whether the student is working;
2) his/her motivation;
3) prior experience.

The biggest determinant seems to be 1) whether the student is working.

Employed people usually devote several hours per week to the program, thus the duration of their studies is longer.

Regarding the motivation – we are trying to incentivize students to be more engaged, but at the end of the day, that depends on the individual.

Finally, prior experience is important. Some students have done a bit of programming, others – statistics, so they can skip some parts. Overall, they spend less time on the program as a whole and can complete it within a month. Assuming that a student starts from 0, works part-time, and completes all courses and exercises, 2-3 months are sufficient.

There is no set time limit to complete the full program. No matter if you complete it in a week, a month or a year, you will receive your certificate.

Yes! If you devote yourself to learning you can finish in 1 month!

Yes, you can. However, currently, there is only an iOS version of the app. You can find more information here.

Note that the programming parts of the course could hardly be mastered on a mobile device. We highly recommend using a computer for taking the course!

For the time being, our platform shows progress for the individual parts! Once you have completed all individual parts, you will have completed the whole program!

Once you complete your track and pass the final exam, we will send you a personal and verifiable certificate which you can add to your resume, post on LinkedIn, and send to future employers.

The certificate will prove that you have gained a plethora of skills and are competent for the job.

This means that any prospective employer can contact us to receive official confirmation that you have completed the data science program and gain a list of the skills you acquired during it.

You can contact us through email at: team@365datascience.com, or you can post a comment under each lecture. Either way, we are here for you and will do our best to help you in any way.

Since our product is online based, we communicate mainly through email and our platform.

If you have any questions, feel free to ask them via email at team@365datascience.com!

We are always happy to help!

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