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PART TIME MASTERCLASS

24 Weeks To Become Data Scientist: The Sexiest Job In The 21st and 22nd Century*

*According to Harvard Business Review And Other Sources.

Part Time Online or Offline (24 Weeks, Fixed Schedule)


Learn to use classic machine learning models and popular data science tools like Python, Data Visualization, SQL, Git, Machine Learning, Big Data, Deep Learning, Pandasc Object-Oriented, TensorFlow, SAS, Tableau, Stack Implementation, PySpark. Capstone Projects. to read, analyse and work with data.


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Data Science & Machine Learning

Part Time MasterClass

Online or Offline (24 Week, Fixed Schedule)

Take advantage of Codeva Part-Time MasterClass 

so you can keep living the life you have

and learn to build the life you want.

Data is only as valuable as the person interpreting it. With our Data Science Bootcamp you learn how to use the right software and techniques to read visual and statistical data and present it in a way that solves real world problems.


Master the Python programming language, learn the fundamentals of machine learning, and start using data science libraries Python, Data Visualization, SQL, Git, Machine Learning, Big Data, Deep Learning, Pandasc Object-Oriented, TensorFlow, SAS, Tableau, Stack Implementation, PySpark. Capstone Projects.

As data becomes the world’s most valuable resource, the demand for data scientists is off the charts and projected to grow further. Master the tools, techniques and knowledge required to think like a data scientist and switch to this highly valued, sought-after career.

Master the Fundamentals while
Exploring new Tech

 

Many Data Science bootcamps teach in-demand technologies, but at Codeva, we go further. We teach cutting-edge tech. This allows you to pick up new languages, libraries, and frameworks at will. We teach you how to adapt because next year’s most important tech might not exist today.

Think like a Data Scientist


Professional data scientist have defined goals, but no roadmap of how to get there. Our students don’t just follow directions, they learn how to chart the course.

Develop Production Grade Data Science Applications

 

Our advanced coding bootcamp is results-focused. You start by learning foundational tech and fundamentals, then immediately put your knowledge into action with carefully designed assignments and personal data science projects that you conceive and build from the ground up.

Job Placement Support


We prepare you for a competitive job market with resume assistance, personal branding development, interviewing skills, and career coaching. By representing your skills well on paper and in interviews, you’ll be ready for a job anywhere from startups to major tech companies.

Join The Fastest-Growing Corner of the Tech Industry

 

More than ever before, companies are relying on data to make business decisions. Without data science, these industry trends stay undiscovered — no story to tell and no insights to share. In order to determine business goals, more and more companies are looking for data scientists to fill in the gaps. Data science is one of the fastest-growing and sectors of the tech industry.

571%

Growth in Data Science & Machine Learning Jobs In this world Since 2012

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Learn the fundamentals needed to succeed 

Join a Community of

World-Class Professionals

When you take a Codeva course, you are learning with the very best. Enroll today to tap into a global network of instructors and students at some of the most innovative organizations in the world.

Syarat, dan Ketentuan untuk mengikuti program ini :
  1. Minimal lulusan SMA/SMK
  2. Kamu dapat memilih kelas Offline/Online
  3. Kamu tidak harus memiliki background IT/Coding

View Our Program Package

We put together a guide that delves into our pedagogy, course logic and structure. It’s a good place to start if you’dto learn more about us.

What You’ll Learn: Data Science & Machine Learning

 

From Python to Machine Learning, our data science training program gives you the breadth and depth needed to become a well-rounded data scientist.


Learn to use classic machine learning models and popular data science tools like Python, Data Visualization, SQL, Git, Machine Learning, Big Data, Deep Learning, Pandasc Object-Oriented, TensorFlow, SAS, Tableau, Stack Implementation, PySpark. Capstone Projects. to read, analyse and work with data.

Every weeks you’ll be introduced to a new module that builds off the learnings of the previous section while allowing you enough time to dive into each area for a thorough understanding of the subject matter.

Prework Modules

The Data Science program moves quickly and our passionate students embrace that challenge. While no experience is necessary to apply, we require you to demonstrate some data science knowledge prior to getting admitted, then complete a prework course before Day 1. To help you prepare for our bootcamp, we provide a free introductory course. This prework ensures you come in prepared and are able to keep pace with the class.

Our first module introduces the fundamentals of Python for data science. You’ll learn basic Python programming, how to use Jupyter Notebooks, and will be familiarized with popular Python libraries that are used in data science, such as Pandas and NumPy.


Additionally, you’ll learn how to use Git and Github as a collaborative version control tool. To organize your data, you’ll learn about data structures, relational databases, ways to retrieve data, and the fundamentals of SQL for data querying for structured databases.

Furthermore, you’ll learn how to access data from various sources using APls, as well as perform Web Scraping.


Finally, we’ll conclude with a heavy focus on visualizations as a way to go from data to insights.


At the end of this module, students will use their newly learned skills to collect, organize and visualize data, with the goal to provide actionable insights!


Module 1 Topics

Variables, Booleans and Conditionals, Lists, Dictionaries, Looping, Functions, Data Structures, Data Cleaning, Pandas, NumPy, Matplotlib/Seaborn for Data Visualization, Git/Github, SQL, Accessing Data Through APIs, Web Scraping

Having learned how to gather and explore data with Python and SQL you can now go deeper into analyzing that information with statistics. In this module, you’ll learn about the fundamentals of probability theory, where you will learn about probability principles such as combinations and permutations.


You will go on and learn about statistical distributions and how to create samples when distributions are known. By the end of this module, you will be able to apply this knowledge by running A/B tests. Additionally, you’ll learn how to build your first (and important) data science model: a linear regression model.


Module 2 Topics

Combinatorics, Probability Theory, Statistical Distributions, Bayes Theorem, Sampling Methods, Hypothesis Testing, A/B Testing, Linear Regression, Model Evaluation

Module 3 is all about machine learning, with a heavy focus on supervised learning. To start, you will go a little deeper into regression analysis, learning about extensions to linear regression, and a new form of regression: logistic regression. In building regression models, students will learn about penalization terms, preventing overfitting through regularization and using cross validation to validate regression model.


Next, you’ll learn how to build and implement the most important machine learning techniques. You’ll learn about classification algorithms such as Support Vector Machines and Decision Trees. Additionally, you’ll learn how to build even more robust classifiers using ensemble methods such as Bagged and Boosted Trees, and Random Forests.


Module 3 Topics

Linear Algebra, Logistic Regression, Maximum Likelihood Estimation, Optimization Cost Function, Gradient Descent, K Nearest Neighbors, Decision Trees, Ensemble methods, Pipeline Building, Hyperparameter Tuning, Grid Search, Scikit-Learn

 

After a full module on supervised learning, this  module focuses on a variety of advanced Data Science techniques. You will start with learning about unsupervised learning techniques such as clustering techniques and dimensionality reduction techniques.

Next, you will be introduced to threading and multiprocessing to be able to work with big data.  In doing so, you’ll learn about PySpark and AWS, and how to use those tools to build a recommendation system.


Next, you will get an in-depth overview of deep learning techniques, learning about densely connected neural networks, enabling high-performing classification performance. Next, students will learn how to use regular expressions in Python, and how to manage string values, analyze text and perform sentiment analysis.


Module 4 Topics

Dimensionality Reduction, Clustering, Time Series Analysis, Neural Networks, Big Data, Natural Language Processing, Text Vectorization, Natural Language Toolkit, Regular Expressions, Word2Vec, Text Classification, Recommendation Systems

In our final project, you’ll work individually to create a large-scale data science and machine learning project. This final project provides an in-depth opportunity for you to demonstrate your learning accomplishments and get a feel for what working on a large-scale data science project is really like.


You and your fellow students will each pitch three different ideas and then decide on your final project with your instructors. Instructors advise on projects based on difficulty and feasibility given the course’s time constraints. At the end of the project, you’ll receive a grade based on various factors.


Upon project completion, you’ll know how to construct a project that gathers and builds statistical or machine learning models to deliver insights and communicate findings through data visualisation and storytelling techniques.


Module 5 Topics

Final Project

Bootcamp certificate

Walk away with a newly minted certificate as evidence of your skills and expertise in software engineering.


Technical CV and portfolio

Receive technical assistance in getting your CV industry-ready according to accepted best-practice format.


Interview preparation

Know what to expect when getting ready for that big interview with expert interview preparation from professionals who have been where you are.


Join our hiring network

We work with select hiring partners to place our students in new jobs within six months of graduating. There are also internship placements available with select partners.

GET STARTED

Join a network of over 7500

professionals who have transformed

their career through Codeva.

FREE Classes

Get FREE access to VIP Events

View Unique Codeva Syllabus and Teaching Materials

Find out if you’re eligible for Codeva Job Connector

Learn more about Codeva programs

Fill Out The Form For FREE Classes And To View Codeva Program Packages

Your Day at Codeva

(Monday and Wednesday) or (Tuesday and Thursday)

Day One

19.00 PM – 22.00 PM


Student-led discussion


Your day begins with an open discussion when you can ask questions, review new skills, and program materials from the day before to ensure you’re up to speed.


Lecture


Learn key concepts from your expert instructor through interactive exercises and collaborative discussion.

Day Two

19.00 PM – 22.00 PM

 

Pair-programming exercises and mini projects


Work together with a partner to build your strategic and tactical coding skills and learn from one another.

Self-led labs let you explore your own coding projects based on the material from lecture.


Practice

You’ll either work on a brief solo exercise or pair up with another student to tackle a assignment related to the lecture you just learned. Pair programming is an essential skill for any developer and also helps in the learning process. The Practice are challenging and often go deeper than some of the areas covered in the related lecture. You will cultivate the skill of reading documentation and thinking creatively to solve programming challenges.

 

Get Started with Codeva Classes for FREE

Learn the fundamentals needed to succeed 

What You Get


Receive personalised mentorship and career coaching as you work your way through industry-aligned course content. With industry-standard code reviews, professional feedback and direct referrals to our handpicked hiring partners, you are well on your way to landing the dream job you’re after.

Our FREE workshops

See how we help support your career goals.

Personalised mentorship

Advance faster with the support of a full-time mentor. It’s just you and your mentor, who’s available for tailored feedback.

Write industry-quality code

Never feel stuck with direct feedback on your code submissions. Your mentor assesses the accuracy, style and efficiency of your code to align to industry standard, and provide actionable feedback.

Quality course content

Enjoy access to up-to-date, relevant and industry-aligned course content. Our courses are continually reviewed to align to latest industry needs.

Career coaching

Post-graduation, receive career support and guidance including technical CV review, preparing for tech interviews, direct referral to our hiring partners and potential internship placement at select partners. Most graduates switch to a new career within six months of graduating.

The Codeva Experience


This is probably the most challenging program you’ll ever take.
But it will change your life.

#1 Data Science School

Codeva is the one the best data science school in the Indonesia.

Experienced Instructors

Work with passionate programmers who love to teach. From large open-source libraries to quantum computer simulators, they’ve hacked it all.

Real-World Coding Tools

Python, Data Visualization, SQL, Git, Machine Learning, Big Data, Deep Learning, Pandasc Object-Oriented, TensorFlow, SAS, Tableau, Stack Implementation, PySpark. Capstone Projects.

Professional Results

Our graduates get hired by amazing companies in indonesia

Learn About Emerging Technology Topics

We take an Agile approach to Education, ensuring that we’re constantly updating our curriculum based on industry changes and trends.

Gain and Apply Skills With Hands-On Labs

After being introduced to a topic through readings and lectures, you will solidify your knowledge through labs, challenges and a final unit project. access course content, as well as additional quizzes, challenges, and resources.

Culture of Collaboration

Work with other students who are considerate, understanding, and generally pleasant to be around.

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Learn the fundamentals needed to succeed 

Community and Tools For Life

Our data science course is just the beginning of the journey. Once you graduate, you belong to a global community and have access to our online platform to keep learning and growing.


On this forum, you can engage with the wider community of Codeva, including students, alumni and our other mentor staff. Meet fellow students in your cohort and bootcamp. Chat to Codeva staff about your career placement post bootcamp. Share resources, memes and Youtube videos, as well as posting your code snippet to figure out why it’s not running. In addition to your personal mentor, weekly calls and work submissions, this forum will make sure you will always have someone to turn to.

i

Slack communities

Get tips and advice from data scientist, access exclusive job and freelance opportunities, find support for your project launch.

Online platform

Access our online education platform at any time after the data science course, with lectures, screencasts, flashcards and challenges.

Additional resources

Benefit from advanced tutorials in data science to push your data science skills further and keep on learning and practicing after the bootcamp.

Global network

Receive unique job and freelance opportunities from Codeva alumni who work as developers, product managers and entrepreneurs in successful tech companies in indonesia.

Download full syllabus

Want to know more about our bootcamp? Download the full syllabus, and learn more about this comprehensive coding bootcamp

Join our Community

Join us for an info session, workshop, or tour and learn about our student life.

 

Contact us

Schedule a call with one of our sales consultants, and have all your questions answered.

How Our Mentorship Works

Benefit from unlimited 1:1 expert mentor support, and get your code and assignments reviewed by your dedicated mentor. Available live chat, email, phone and video call support ensure you’re never alone as you work your way through our industry-aligned course content. Access hundreds of programming examples and exercises, tailored by your mentor to fit your specific career goals.

The mentors that guide you learned their craft at Codeva, and have studied for years specifically towards a career path as a full-time reviewer and mentor. Codeva runs the most selective programmer in the world for sourcing and training for this unique career path, which is designed to maximise the success of students around the globe.

1-on-1 Support

Detailed professional feedback

Have your work reviewed for quality and accuracy, and whether it’s aligned to industry standards. Benefit from professional feedback by your dedicated mentor who’s available to share insights and expertise to inform you.

Personalised schedule

Regardless of your time zone, you receive personalised mentoring at a schedule and time that suits you. Your mentorship is planned around your schedule.

Regular video chats

Through regular video chats, you have direct access to industry expert code reviewers who will answer your questions, check in with you throughout your journey, and provide feedback.

Get Started with Codeva Classes for FREE

Learn the fundamentals needed to succeed 

Meet Your Mentors


Work 1:1 with a mentor, a specialised trainer who’ll review your work to make sure it’s accurate and aligned to industry standard. Your dedicated mentor is available for personalised mentorship to guide you throughout your journey and help you master the course content. Look forward to professional feedback, frequent video calls and a personalised schedule tailored around your needs.

Ryan

Ryan

Ryan is a Codeva alum. After completing his Accounting degree, he decided to pursue his real passion in programming which he learned in high school. He completed programming courses with Codeva and was subsequently hired as a mentor. He has been mentoring students for 2 years now and has mentored over 500 students.

Vito

Vito

Vito is a mentor who reviews course content and has an M.Sc. in Computer Science. She enjoys coding because of the challenge and numerous learning opportunities it presents. She is passionate about teaching and believes that anyone can code. She enjoys being a mentor as she gets to spark coding interest within different people from different fields/industry which she finds awesome.

GET STARTED

Join a network of over 7500

professionals who have transformed

their career through Codeva.

FREE Classes

Get FREE access to VIP Events

View Unique Codeva Syllabus and Teaching Materials

Find out if you’re eligible for Codeva Job Connector

Learn more about Codeva programs

Fill Out The Form For FREE Workshops And To View Codeva Program Packages

Pair Programming


During the program, you’ll pair program with a variety of other students in your cohort. Together, you’ll solve programming challenges and double-check each other’s work.

Some things are better shared. Employers love to see engineers who have ample pair programming experience, which you’ll get as you work through the program.


You will also form meaningful new friendships with your programming partners, which will last a lifetime and create networking opportunities for you in the years ahead.

Develop Your Portfolio


Enter the job market upon graduation with a comprehensive portfolio, and vie for competitive roles in your new career. You’ll complete capstone projects throughout the bootcamp which will populate your portfolio, showing off your newly acquired skills to prospective employers, and illustrating your capabilities.

Python for Data Science


Complete 3 capstone projects in this level.


Use your knowledge of programming in Python to create a useful program. Challenge yourself through a project on introductory Natural Language Processing (NLP) and Sentiment Analysis.

Data Analytics and Exploration


Complete 3 capstone projects in this level.


Learn about databases and work on a system that communicates with a database. Put your knowledge of data science, analytics and visualization to the test in two comprehensive tasks.

Machine Learning and AI


Complete 3 capstone projects in this level.


Using machine learning principles, build an image recognition classifier. Learn about neural networks and reinforced learning, and build up a portfolio of relevant work through two more capstone projects.

Career Services

 

We’re with you every step of your journey, and our support doesn’t end when you graduate. Our career services are developed to help you stand out from the crowd, and grab the attention of top employers.

We provide technical CV insights and interview preparation, and connect you with our select-hiring partners.

h

Certificate

Validate your newly acquired skills with a certificate of completion from Codeva upon graduation from an online coding bootcamp.

n

Technical CV and portfolio

Receive technical assistance in getting your CV industry-ready according to accepted best-practice format.

Interview preparation

Know what to expect when getting ready for that big interview with expert interview preparation from professionals who have been where you are.

Join our hiring network

We work with select hiring partners to place our students in new jobs within six months of graduating. There are also internship placements available with select partners.

i

Portfolio of Apps

The projects you build will create an amazing portfolio that showcases your skills and experience.

Github Profile

Employers want to see a strong Github profile—and that is exactly what you will have by the end of the program.

Where Our Graduates Work

Codeva has collaborated with more than 250 startup companies and other large companies, so that graduates of the Codeva program can be connected with them.

Strong Outcomes for All


You don’t have to have gotten a degree in computer science to be successful here. If you can be disciplined enough to learn the basics on your own and pass our assessment and dedicate yourself  for 28 weeks, you can emerge with the training required to land a job in tech.

From immense challenge to immense reward—with all the support you


need along the way.

What Our Alumni Say

 

Throughout the years, we’ve helped many people acquire new expertise and sharpen their skills as they prepared to embark on new careers. We can tell you a lot about our bootcamp, personalised support, instant feedback and industry-aligned course content. But we believe our past students say it best.

Mardino

Student

“My experience at Codeva was nothing short of fantastic. The staff is extremely professional, insightful, and attentive. The facilities are superb and create an ideal environment for both learning and networking. I would definitely consider taking another Codeva course to continue my professional development.”

Akbar Raharja

Student

“The best part of my experience with Codeva was the great Instructors and the well-organized course materials. I was very impressed with what we did in the class, which was heavily focused on hands-on projects.”

Flexible Payment Option

Codeva offers some of the most competitive payment options for digital learning, with a range of flexible plans and scholarship opportunities.

Monthly Payment Plans

Split your tuition into smaller monthly payments.

Employer Sponsorship

Get your tuition reimbursed by your employer.

Scholarships

We offer a range of scholarships to make learning more accessible.

Please be advised: all scholarships must be approved and applied prior to enrollment in a Codeva course or program.

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Tuition Fee

PAYMENT OPTIONS

Learn Now, Pay Over Time

Codeva offers some of the most competitive payment options for digital learning, with a range of flexible plans.

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