E-LEARNING PLATFORM

We are equipped with a talent training centre and an e-training platform.

The Training Centre consists of ten class rooms designed for Software Development training. They are equipped with overhead projectors, video conference as well as Communication and Information Technology development tools.

The Training Centre is in charge of Coordinating with our partner the training activity and Designing and Implementing our training and coaching program

A talent training centre provides "Blended training" through e-learning at Sotelco to train our engineers in our core business "Data Sciences" and with our partners "Esprit" and Suptech for face to face training.

Our e-training platform provides a soft skills training and a technical training program.

OUR TECHNICAL TRAINING PROGRAM

MARKETING ANALYTICS

Estimated Time: 100 H

Prerequisites: No Prerequisites

Course 1: Introduction to Data Analysis

Course 2: Data Visualization

Course 3: Google Analytics

Course 4: Marketing Analytics

DIGITAL MARKETING

Estimated date : 200 H

Prerequisites: No

Course 1: Marketing Fundamentals

Course 2: Content Strategy

Course 3: Social Media Marketing (Organic)

Course 4: Social Media Advertising (Paid)

Course 5: Search Engine Optimization (SEO)

Course 6: Search Engine Marketing with AdWords (SEM)

Course 7: Display Advertising

Course 8: Email Marketing

Course 9: Measure & Optimize with Google Analytics

DATA SCIENCES FOR BUSINESS LEADERS

Prerequisites:

Statistics, Probability, and Business Experience

Estimated time : 30 H

Workshop 1, Business’s strategic objectives and opportunities for data science-based transformation.

Workshop 2, Human Resources Development for Data-Sciences based transformation

Workshop 3, Culture and Organization challenges

Workshop 4, Technology needs for data and Machine Learning

Capstone Project: Data Science transformation strategy and action plan

PREDICTIVE ANALYTICS FOR BUSINESSES

Estimated time : 160 H

Prerequisites:

Comfortable working with data in spreadsheets. You don’t need any programming experience, but should have basic statistics and math knowledge.

Course 1: Problem Solving with Advanced Analytics

Course Project : Predict Sales for a Catalog Launch

Course 2: Data Wrangling

Course Project : Create an Analytical Dataset

Course 3: Classification Models

Capstone Project : Predict Loan Default Risk

AI FOR BUSINESS LEADERS

Estimated date : 40 H

Prerequisites:

Statistics, Probability, & Business Experience

Course: AI for Business Leaders

Capstone Project: Deliver a Machine Learning / AI Strategy

AI PRODUCT MANAGER

Prerequisites: No

Estimated date: 200 H

Course 1 Introduction to AI in Business

Course 2: How to create a data set

Course 3: Build a model

Course 4: Measuring the impact & updating the model

Course project: Capstone proposal

CLOUD DEVOPS ENGINEERS WITHIN AWS

Prerequisites:

Basic Programming and Linux Command Line

Estimated time : 160 H

Course 1: Cloud Fundamentals

Course 2: Deploy Infrastructure as Code (IAC)

Course 3: Build CI/CD Pipelines, Monitoring & Logging

Course 4: Microservices at Scale Using Kubernetes

CLOUD DEVOPS ENGINEERS WITHIN AZURE

Prerequisites: Intermediate Python, familiarity with Linux shell scripting and cloud concepts

Estimated time : 100H

Course 1: Azure Infrastructure Operations

Course 2: Agile Development with Azure

Course 3: Ensuring Quality Assurance

AWS CLOUD DEVELOPER

Prerequisites:

Intermediate Javascript, Linux Command Line,HTML/CSS

Estimated time: 200 H

Course 1: Cloud Fundamentals

Course 2: Full Stack Apps on AWS

Course 3: Monolith to Microservices at Scale

Course Project: Serverless Application

AZURE CLOUD DEVELOPER

Prerequisites

• 1-3 years of web development experience, preferably programming in Python

• Experience creating and managing databases such as SQL Server or PostgreSQL

• Comfortability using Git as a version control system to clone, pull, or push code

• A free or existing Azure account, needed to create and provision Azure services

Estimated time : 200 H

Course 1: Azure Applications

Course 2: Azure Micro services

Course 3: Azure Migration

HYBRID CLOUD DEVLOPMENT FOR PRIVATE CLOUD

Prerequisites:

• Comfortable with command line on Linux or Windows

• Experience with Virtual Machines using on-premise hypervisors or the public cloud

• Basic database and SQL familiarity

Estimated Time:

160 H

Course 1: Modern Private Cloud Infrastructure

Course 2: On-Premises Private Cloud Automation

Project 3 Hybrid Cloud SaaS: Three-Tier Web Application

INTRODUCTION TO PROGRAMMING

No prior experience with programming is required.

Estimated Time: 4 Months at 10 hrs/week Prerequisites: No Coding Experience Needed

Course 1: Intro to HTML

Course 2: Intro to CSS

Course 3: Intro to Python

Course 4: Intro to JavaScript

SQL

Prerequisites: Anyone who has basic computer skills can understand and write SQL and NoSQL languages. You will need - 1. Basic computer skills • Familiarity with Operating systems (Windows and MacOS) • Familiarity and comfort using word processing programs (Microsoft Word, Google Docs, PDF) • Comfort using presentation software (PowerPoint, Keynote, Google Slides) • Comfort using Spreadsheet programs (Microsoft. Excel, Google Spreadsheets) 2. Basic understanding of data types (e.g., string, integer)

Estimated Time: 100 H

Course 1: Introduction to SQL

Course 2: Management of Relational & Non Relational Databases

PROGRAMMING FOR DATA SCIENCES WITH R

Estimated Time: 160 H

Prerequisites: None

Course 1: Introduction to SQL Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.

Course 2: Introduction to R Programming

Course 3: Introduction to Version Control

PROGRAMMING FOR DATA SCIENCE WITH PITHON

Estimated Time: 160 H

Prerequisites: No Experience Required

COURSE 1: INTRODUCTION TO SQL

COURSE 2: INTRODUCTION TO PYTHON PROGRAMMING

Course 3: Introduction to Version Control

AI PROGRAMMING WITH PITHON

Prerequisites:

Basic Algebra and Programming Knowledge

Estimated time : 120 H

Course 1: Introduction to Python Programming

Course 2: Anaconda, Jupyter Notebook,

Course 3: Linear Algebra Essentials

Course 4: Calculus Essentials

Course 5: Neural Networks

FULL STACK WEB DEVELOPER

Estimated Time: 200H

Prerequisites: Prior experience with Python, CSS/ HTML, and Git

Course 1: SQL and Data Modeling

Course 2: API Development and Documentation

Course 3: Identity Access Management

Course 4: Server Deployment and Containerization

INTERMEDIATE JAVA SCRIPT

Prerequisites: Basic JavaScript experience Estimated

Time: 160H

Course 1: Object Oriented JavaScript

Course 2: Functional Programming

Course 3: Asynchronous Programming in JavaScript

Capstone Project Build a UdaciRacer Simulation Game

JAVA WEB DEVLOPER

Estimated Time: 160 H

Prerequisites: Intermediate Java Programming

Course 1: Spring Boot Basics

Course 2: Web Services and APIs

Course 3: Data Stores & Persistence

Course 4: Security and DevOps

C++ PROGRAMMING

Estimated Time: 200 H

Prerequisites: Intermediate Programming

Course 1: C++ Foundations

Course 2: Object-Oriented Programming

Course 3: Memory Management

Course 4: Capstone Project Put your C++ skills to use on a project of your own

INTRODUCTION TO CYBER SECURITY

Prerequisites:

Understand basic principles of network connectivity

Understand basic operating system fundamentals including Windows or Linux

Estimated Time : 200 H

Course 1: Cybersecurity Foundations

Course 2: Defending and Securing Systems

Course 3: Threats, Vulnerabilities, and Incident .

Course 4: Governance, Risk, and Compliance

DATA STRUCTURE & ALGORITHM

Estimated Time: 200 H

Prerequisites:

Python and Basic Algebra

Course 1: Introduction to Python and Algebra

Course 2: Data Structures

Course 3: Basic Algorithms

Open ended Project building a route-planning algorithm like the one used in Google Maps to calculate the shortest path between two points on a map.

DATA STREAMING

Prerequisite Knowledge: Intermediate SQL, Python, and experience with ETL. Basic familiarity with traditional batch processing and traditional service architectures is desired, but not required.

Estimated Time: 80 H

Course 1: Foundations of Data Streaming, and SQL & Data Modeling for the Web

Course 2: Streaming API DEVELOPMENT AND DOCUMENTATION: SPARK, APACHE, KAFKA

DATA SCIENTIST

Estimated Time: 200H

Prerequisites: Python, SQL & Statistics

Course 1: Solving Data Science

Course 2: Software Engineering for Data Scientists

Course 3: Data Engineering for Data Scientists

Course 4: Experiment Design and Recommendations

COURSE 5: OPEN-ENDED DATA SCIENCE PROJECTS

AUTOMATING FINANCE & ACCOUNTING

Prerequisites : Accounting Software , Finance Software , RPA, DATA SCIENTIST, SQL, Cloud

Duration: 300 H

Course 1: Big Data & Analytics & Accounting

Course 2: Automating Finance & Accounting

AUTOMATING AUDIT

Estimated time : 400 H

Prerequisites: ERP software , RPA, DATA SCIENTIST, SQL, Cloud, R

Course 1: Business Decision Tools

Course 2: ERP versus Business Decision and Cost accounting

Course 3: RPA applied to audit

Course 4: Risks to consider when auditing Bots using RPA

DATA SCIENTIST

Estimated Time: 200H

Prerequisites: Python, SQL & Statistics

Course 1: Solving Data Science

Course 2: Software Engineering for Data Scientists

Course 3: Data Engineering for Data Scientists

Course 4: Experiment Design and Recommendations

COURSE 5: OPEN-ENDED DATA SCIENCE PROJECTS