Name: Data Analyst Online Bootcamp
Brand: DataScientest
SKU: 63ac0bc945718b0012b40471
Price: 5000 EUR
Availability: InStock

**Which Competencies will you have acquired at the end of our course?**

Our Data Analyst training is designed to enable you to develop the following skills:

- Read and understand Python code
- Manipulate and manage tables of data (key skill in Machine Learning)
- Putting Data Visualization at the service of data analysis
- Produce simple statistical graphs at the crossroads of Data Visualization and Data Analysis
- Implement a classic Machine Learning algorithm and use it on text data
- Evaluate a model using cross-validation and different metrics
- Identify unsupervised machine learning issues
- Process massive datasets and apply machine learning models to large databases
- Master advanced tools in Data Analysis to guide business strategy 

Data Analysis

Get a recognized diploma from the Paris University Sorbonne, support until you are hired and a flexible job that is in high demand.

**How is the course structured?**

To receive the complete syllabus, [click here!](https://datascientest.com/en/formation-data-analyst#syllabus)

All courses were created by our expert data scientists. DataScientest undertakes never to use external service providers or to buy back content. The content is the result of rigorous work carried out in close collaboration with major European groups.

The Data Analyst course consists of:

Introduction to **Python**
Dataviz or **Data VisualizationMachine Learning**
Database/ **Big Data**
Extraction and management of text data
**Business Intelligence**
The total duration of a course is **300 hours.**

The content always remains the same, however the number of course hours differs depending on the format: **35 hours per week for bootcamps and 10 hours for continuing education.**  The bootcamp will have a total duration of 9 weeks. The part time option of 6 months. 

Online Ausbildung zum Data Analyst

Python

**DataScientest** is the number one reference in B2B and B2C data training, with courses covering themes around :
-Data Analytics
-Data Science
-Business Intelligence
-Cloud Computing
-Data Engineering
-and much more ...
As well as an official training partner for:
-Microsoft Azure
-Amazon Web Services (AWS)
-Power BI
-Microstrategy

The reason behind our success? A malicious mix of asynchronous training **via a state-of-the-art Saas platform**, where trainees get to learn to code ... by coding, and **synchronous sessions with our professors** via Masterclasses, coaching sessions, use cases, projects ...

**Our goal** is threefold:
**Quality:** As an actor dedicated to Data, we know our stuff.. and it shows!
The cherry on the cake? 100% of our professors work full-time for us, which means the people that create the content are the same ones that will help you out throughout your course.
**Flexibility:** We know and understand that upskilling/reskilling in a new field is both time-consuming and difficult, but we still want to make it as simple as possible for you. Our courses are 100% online and available in both a continuous (6/8h per week) or intensive (35/40h per week) format.
**Personalization:** You deserve the course that you want! Thanks to the Big Data Project, an essential part of our courses, you choose the project you want to dedicate time to! For companies, that means getting an additional ROI since not only are collaborators training to acquire new skill sets, but they can work on company projects while doing so! (60% deployment rate of our projects within companies)


All of this (and more) explains why we now have 70+ clients among Fortune 500 companies and over 5000 alumni!
Take your skill set to another level with DataScientest.

Trust the expert in innovative Data training solutions today!

DataScientest

Data Analyst Online Bootcamp

course

Kurs

Course/workshop

Դասընթաց/վորքշոփ

Курс/Воркшоп

**Does the course have any prerequisites?**

To join the Data Scientist training, we advise you to have the knowledge equivalent to a bachelor level diploma in mathematics, statistics or science. That said, it is most important that you have the necessary knowledge regardless of the degree or diploma that you hold. In addition to that, you also need to have good communication skills.

These prerequisites exist because although the **training is centered on data science** , and not mathematics, these are necessary for a good understanding of the logical principles of the concepts discussed. 

**What is the training format?**

DataScientest is the only organization to offer hybrid online training. This translates into 85% learning on the coached platform and 15% masterclass session by videoconference in order to combine **flexibility and rigor** without compromising on one or the other. It is a carefully considered choice that motivates our pedagogy to allow learning to be carried out with motivation. 

Machine Learning / AI

**What is a Data Scientist?**

Data Scientist is the “sexiest job of the 21st century” according to the Harvard Business Review. Even if this statement is unanimous today, the definition of a Data Scientist struggles to be universal.

The colossal amounts of data available to companies are mines of information: the challenge is to know how to extract its potential and draw useful conclusions from it thanks to Data Science. The Data Scientist’s mission is to implement algorithms based on data in order to respond to all types of problems ranging from stock optimization to weather prediction.

In a survey we conducted in June 2021 among 30 CAC 40 groups (Crédit Agricole, BNP Paribas, AXA, etc.), the four most important Data Scientist skills were in order:

- Mastery of machine learning and mathematical statistics
- Programming and IT
- Fluency in written and oral communication
- Knowledge of the body of work

If the Data Scientist who perfectly masters these four aspects can be difficult to find, specialized training allows you to be up to date on these key points in order to meet the expectations of recruiters and succeed in your professional project.

**What are the missions of a Data Scientist?**

From the raw data, the Data Scientist **develops algorithms** with a view to responding to issues such as:

- classification ( **spam** or not spam)
- the **recommendation** (such as for Netflix or Amazon catalogs)
- the creation of groups (clustering) (without groups known beforehand)
- **anomaly detection** ( fight against fraud)
- image **, text, audio recognition…**
- **automated processes** ( validation of bank card payments)
- **segmentation** ( marketing based on demographic segments)
- **optimization** ( risk management)
- the **forecast** (of sales and/or income) 

Data Scientist Online Course

Data Scientist Online Bootcamp

**What are the prerequisites for the course?**

To be able to access the training system, we advise you to have either a bachelor **in mathematics** or a master’s degree in a scientific field. It is also required to demonstrate an **understanding of the SQL language and Linux systems**.

In addition, this job is data-centric, it **requires a** solid foundation in mathematics and statistics, which will also allow you to more easily grasp new concepts covered during the course. The level will be assessed via a test conditioning the entry into training. 

Programming

Programmierung

Ծրագրավորում

Программирование

**What is a Data Engineer?**

The role of the Data Engineer falls under engineering. It is therefore an **IT developer** , whose mission is to set up the collection and provision of data within the company. It is therefore a question of **developing tools to manage large volumes of data** and to make them accessible and usable to the entire team.

This data is then used by data scientists and data analysts who will give it meaning thanks to their business intelligence skills. In constant contact with customers, data scientists and data analysts, the Data Engineer aims to find the most suitable solution to meet their needs. 

**How is the course structured?**

Several topics are covered in training. Each theme is divided into several modules.

For Data Engineer training, the blocks are:

- Programming
- Data Visualization
- Dataviz – Machine Learning
- Data base
- Big Data and DevOps

[More details are available in the attached syllabus.](https://datascientest.com/en/formation-data-analyst#syllabus)

The total duration of a course is 325 hours, in **Bootcamp format (11 weeks) or continuously (9 months)** 

Data Analyst Online Bootcamp

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