Become a Data Scientist

Start a new profession and become a Data Scientist. This full-time program is an intensive training course that will allow you to master data visualization, Machine Learning and Big Data.

11 Chapters

320 Exercices

12 Projects

11 One to one meetings

11 Workshops

Duration: 20 weeks

Learn on our platform 24/7

Available in our office spaces during the evening

12 hours / week attendance

Available in our office spaces or online

Rich Content

Explore the subfields of Data Science.

Distinguish between Data Scientist, Data Engineer and Data Analyst.

Discover the main applications of Data Science.

Explore some statistics terminologies.

Explain the main measurements of statistics.

Explore dispersion indicators.

Learn Python syntax.

Understand how to use loops and control conditions.

Learn how to build function in Python.

Learn how to deal with files in Python.

Learn how to build and design databases.

Practice how to convert functional needs to a conceptual data model.

Design conceptual, relational and physical models.

Data visualization with Tableau software.

Make some visualization using Tableau Software.

Implement graphs to illustrate data.

Creating map chart, histograms, boxplots, scatterplots, linecharts…

Learn how to design databases.

Explore the difference between OLAP and OLTP.

Explain different diagrams.

Learn how manipulate Pandas dataframes.

Explore how to deal with missing values.

Explain how to transform our data.

Learn how to analyze data with R and Python.

Examine a bivariate analysis with Python and R.

Analyzing time series with Python and R.

Make difference between supervised and unsupervised learning.

Implement supervised and unsupervised learning with Python.

Distinguish between regression and classification.

Examine logistic regression, knn, decision tree, random forest …etc.

Learn how to use API in Machine learning projects.

Understand the architecture of neural networks.

Implement neural networks models with Keras.

Learn how to create powerful deep neural networks and Deep learning algorithms in Python.

Examine Natural language processing.

Discover the Hadoop platform.

Identify some components of Hadoop.

Manipulate some languages related to Hadoop.

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Become a Data Scientist

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Who can join us?

People who are 18 years or older

People with at least a baccalaureate diploma and a good level in English and French.

People wishing to retrain professionally or strengthen their programming knowledge.

Data enthusiasts who want to start a professional career as a data scientist.

Motivated, rigorous and autonomous profiles.

Program Objectives

Learn how to code with Python, store and design a database using SQL.

Understand how to process data by mastering different types of databases.

Solve big data problems with Hadoop.

Learn how to visualize data with Tableau software.

Develop APIs in Machine Learning.

Implement Machine Learning algorithms (supervised and unsupervised learning).

Implement neural network models and learning algorithms with Python.

Understand natural language processing.

Prices and funding

Pay and join us!

GH¢ 1000

No other payment will be requested either during or after the course.

No other payment will be requested either during or after the course.

Payment options

Wire Transfer
Wire Transfer

Call us and receive all the information you need to make the payment from your bank.

By minute mandate
By minute mandate

Call us and receive all the information to pay from the post office nearest to you.

In one of our offices paces
In one of our offices paces

Make an appointment with one of our educational consultants and pay in one of our hackerspaces.

Get Ready for the jobs of the future

42% of job vacancies are influenced by digitization and there are 400,000 new jobs in the digital industry! iCodeGh’s vision is to train the talents of tomorrow, those who will be able to face, and even benefit from digitalization. This path will allow you to master the essential tools and skills to launch you marketing career.

Why choose this program?

Personalized follow-up

Each student will be accompanied by an outstanding instructor. We strongly believe that effective training requires human assistance.

Personalized follow-up

Our platform allows our students to access their trainings at any time, organize their schedule with their instructor, monitor their performance and identify areas for improvement.

Rich and interactive content

Our educational platform is the result of the collaboration of our educational team, our developers, our UX designers, our content creators and our partners.

Our community

Join a community of digital enthusiasts who bring you support, motivation and creativity. various events are organized by and for the community: Talks, Panels …

A unique experience

The iCodeGh experience is one of a kind! Our method allows our students to develop their technical and personal skills. By joining our community, students learn to work in groups, develop critical thinking and soft skills, enhance their critical thinking, and improve communication skills.

Several milestones allow our students to master technical skills:

1

Assessments: these are quick exercises (quizzes, coding exercises, etc.). They are found after each skill to test the student’s comprehension of the course.

2

Checkpoints: these are mini-projects that allow the student to put into practice what he has learned and to prepare for the final project. The checkpoints are then corrected and evaluated by the instructor.

3

One-to-one meetings: these are one-to-one meetings between the student and the instructor. The instructor meets up with the student and asks him several oral questions to test his understanding of what he has learned and give him feedback on the points that should be improved (between 5 and 20 depending on the program).

4

Workshops: these are mini presentations led by the instructor during which he explains a concept or solves a problem live with the students. The goal is to consolidate the knowledge of our students through practical exercises.

5

Final project or Lab phase: this is the moment during which the student will put into practice everything he has learned during the program and build his own technological product from scratch. The student is highly assisted by the instructor throughout this phase.

Choose the best fit for you

Night courses

This track is also available during night courses. Learn, develop new skills or prepare for a career change while still at work or school.

Weekend courses

This track is also available during night courses. Learn, develop new skills or prepare for a career change while still at work or school.

Online

This track is also available during night courses. Learn, develop new skills or prepare for a career change while still at work or school.

In our hackerspaces

This track is also available during night courses. Learn, develop new skills or prepare for a career change while still at work or school.

Guaranteed supervision

Our instructors are always present either physically or online to mentor students, they organize one-to-one meetings and help their students move forward and validate projects to facilitate the assimilation of every online course content.

Frequently Asked Questions

Yes, all of our programs are available in Online format and can take place 100% online with the supervision of our instructors through several collaborative tools.

It depends on the chosen program. Our courses can last from 4 to 16 weeks.

Our trainings are held in our hackerspaces and in our offices.

Our instructors are chosen on the basis of their technical and educational skills. They also are trained on our programs and our methodology. They monitor and validate the progress of each student, assist and supervise them throughout the course. We respect a ratio of 10 students per instructor.

All of our programs are certified. We are state approved and our certificate is recognized nationwide and by our recruiting partners. But most importantly we will help you get a portfolio that will help you get hired. As of today, companies care less about degrees and more about the projects you have done.

We launch a new session every month.

**Refund Policy** iCODEGh students have the right to cancel their course up to 14 calendar days after the first session. The day of the first session counts as the first day of the 14 calendar days. The student will receive a 100% refund of their payments made if the cancellation is requested within this initial 14 day period. After the initial 14 day period, no refunds will be provided. The refund will be processed within seven days after the cancellation request. **Deferral Policy** iCODEGh students have the right to defer their course up to 14 calendar days after the first session. The day of the first session counts as the first day of the 14 calendar days. However, a processing fee equivalent to 5% of the course price will be applied for the deferral. The student must select the return date when asking for the deferral. The maximum allowed deferral is three (3) sessions. **Transfer Policy** iCODEGh students can ask to transfer to a different course up to 14 calendar days after the first session. The day of the first session counts as the first day of the 14 calendar days. However, a processing fee equivalent to 5% of the course price will be applied to transfer to a different course. If a Full-Time student transfers to a Part-Time course, the Full-Time student will be reimbursed the difference of price minus the processing fee equivalent to 5% of the full-time course price. If a Part-Time student transfers to a Full-Time course, the Part-Time student needs to pay the difference in price plus the processing fee equivalent to 5% of the part-time course price. If a Full-Time or Part-Time student wants to transfer her or his course to another person, this is possible only within the first 14 calendar days. However, a processing fee equivalent to 5% of the course price will be applied. **Public/Religious Holidays** iCODEGh will not reschedule any classes that could not take place due to nationally recognized public and/or religious holidays. **Full-Time Instructor Absences** Classes where a full-time instructor was absent will not be replaced if the full-time assistant was present and the class took place. If the class did not take place at all, the instructor and the students will find a convenient time in order for all parties for the class to be replaced. **Part-Time Instructor Absences** Classes where a part-time instructor was absent will not be replaced if a backup instructor was present and the class took place. If the class did not take place at all, the instructor and the students will find a convenient time for all parties in order for the class to be replaced.

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