Programs

Data Science Bootcamp

Batch 13

When: July 6 - Sept 7, 2024

Time: 2:00pm - 5:00pm

Virtual / Self - phase learning

COMING SOON

Data Science Bootcamp

An extensive training program covers various data science topics like Data Engineering, Machine Learning, Analytics, and Visualization. Prepares people for careers in data analysis.

FAQs

  • You can choose from three secure payment options: Bank Transfer, Paypal, or Paymongo.

    Under Paymongo, here are the following installment options: Atome, BillEase, and Gcash-Gcredit.

  • no required pc, laptop, or tablet specs needed and you will only need an active Google account since we will be using Google Collab to do the coding exercises.

  • Intro to Data Science, Data Sourcing, Data Preparation, EDA, Feature Engineering

    Regression Algorithims, Classification Algorithims, Clustering Algorithims, Advanced ML Methods

    Data Visualization & Storytelling

  • No. We have had numerous students who have minimal to zero programming experience. Our labs are designed so that you are able to learn programming constructs as the language (Python) is used for data science.

  • It’s highly recommended that you review basic statistics and get an introduction to programming. Once you enroll, we will be sending you some links of some pre-work to better prepare you for the class. Having said that, you can still join the class with a clean state and catch up as we go along.

  • Yes, you will be issued an Analytiks Certificate after completion of bootcamp requirements which includes the Capstone Project presentations

  • The bootcamp uses a blended learning approach wherein concepts can be learned on your own time through our learning platform prior to the discussion during the weekend.

    Laboratories will all be held during the live online classes. Live online classes will be held via Google Meet.

  • Don’t worry, we record and share all class recordings for your reference. However, we do encourage you to attend the live classes to ask questions and to learn from your fellow classmates.

  • Data Science with Analytiks

    In a span of 40 hours you will learn practical Data Science including Data Engineering, Machine Learning, Analytics, and Visualization with a mix of both in laboratory classes and asynchronous classwork activities that can be done on your phase

  • Data Science with Analytiks

    In a span of 40 hours you will learn practical Data Science including Data Engineering, Machine Learning, Analytics, and Visualization with a mix of both in laboratory classes and asynchronous classwork activities that can be done on your phase

  • Data Science with Analytiks

    In a span of 40 hours you will learn practical Data Science including Data Engineering, Machine Learning, Analytics, and Visualization with a mix of both in laboratory classes and asynchronous classwork activities that can be done on your phase

  • Data Science with Analytiks

    In a span of 40 hours you will learn practical Data Science including Data Engineering, Machine Learning, Analytics, and Visualization with a mix of both in laboratory classes and asynchronous classwork activities that can be done on your phase

  • Data Science with Analytiks

    In a span of 40 hours you will learn practical Data Science including Data Engineering, Machine Learning, Analytics, and Visualization with a mix of both in laboratory classes and asynchronous classwork activities that can be done on your phase

  • Data Science with Analytiks

    In a span of 40 hours you will learn practical Data Science including Data Engineering, Machine Learning, Analytics, and Visualization with a mix of both in laboratory classes and asynchronous classwork activities that can be done on your phase

  • Data Science with Analytiks

    Data Science with Analytiks

  • Data Science with Analytiks

    In a span of 40 hours you will learn practical Data Science including Data Engineering, Machine Learning, Analytics, and Visualization with a mix of both in laboratory classes and asynchronous classwork activities that can be done on your phase

Why Analytiks?

  • We focus on What Matters. We zero in on the topics that matter helping you to navigate through the broad topic of data science and learning materials available and filter for the skills and knowledge you actually need to be a practical data scientist.

  • Be Real-World Ready. We infuse all lessons with insights from our experience in the real world - what to expect, where the challenges potentially could be, what to avoid, where to get help.

  • Learn Practical Data Science. We teach you not only the fundamentals but how to apply the skills and knowledge you gain to real-world datasets and use-cases.

Learning with Analytiks

At the Analytiks Academy, our mission is simple - data science is no doubt going to be a key knowledge area for anyone and data a currency - we want to help YOU be at the forefront of it all.

Our tried and tested programs are guaranteed to help you become business-ready as a data scientist - no matter what your programming, statistics, and analytics backgrounds are.

Our past students now work in a data science role with these companies