MIM Data Analytics Bootcamp

Clean -> Compute ->Predict Data

Courses in data analytics

The MIM Data Analytics Bootcamp will enhance your decision-making abilities and expand job opportunities through the acquisition of critical data analysis skills. You will master the techniques and tools needed to conduct and present your analyses with effective reporting.

Candidates who successfully complete the Data Analytics bootcamp and Internship can earn an MSc in Data Analytics degree from our partner DSTI Institute in Europe

An increasing demand for Data Analysts:

8,000+

Alumni

98%

Internship Placement

$75K

Average Starting Salary

Years

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Data analytics certificate

Program Goals

Acquire critical data analysis skills: Learn how to source, analyze, organize, report, visualize, and explain technical data
Master the leading software/tools in business intelligence and visualization
Learn and practice database technologies and coding
Understand Machine Learning for predictive analysis and perform regression analysis with state-of-the-art tools
Manage software, IT, and big data projects efficiently and effectively

Program Structure

2.5 weeks Preparation (75 class hours)
12-week academic program (460 class/project hours), plus homework
6-month Internship (960 hours)

Prep. Phase

Applied mathematics & data structures (5 days)
- Mathematic fundamentals review, data structures for algorithmics on Python Modeling elements (all pre-calculus level)
- Data Structures for algorithmics: a benchmark on Python & R
- Design structures for fitting well-known libraries (glmnet, xgboost, sci-kit learn)
Introduction to networks (1 day)

Fundamentals of packet networking, routing networks layers, protocols, address spaces and associated service with TCP/I
Introduction to IT systems (3 days)

Fundamentals of Computer Architecture & Operating Systems
Introduction to computer science (1 day)

Fundamentals of programming
Computer systems (5 days)
- Introduction to OS architecture
- Introduction to DOS/Power shell command
- Introduction to bash command /scripting
- Use case on a Linux web server

Data Analytics

Applied Mathematics for Data Science (25 hrs)

Calculus – Linear Algebra – Trigonometry & Complex Numbers
Big Data Processing with R (25 hrs)

Import and manipulate very large datasets with R – Best data structures selection – Data Transformation – Visualisation – Exploring and modelling
Python Machine Learning Labs (30 hrs)

Data structures – Cleaning & preparation – Pandas – Matplotlib – Scikit-learn – OpenCV – Python & Flask – Keras – Numpy
Foundations of Statistical Analysis & Machine Learning Part I (25 hrs)

Descriptive Statistics - Probability Theory – Applications using R
Semantic Web technologies for Data Science developments (25 hrs)

Representing and querying web-rich data (RDF, SPARQL) – Introducing Semantics in Data (RDFS, Ontologies) – Tracing and following data history (VOiD, DCAT, PROV-O)

Data Management & Visualisation

Advanced Excel for Data Analytics & Machine Learning (25 hrs)

Formulas - Data Visualisation - PowerPivot - Solver - Visual Basic for Application
CRM Data Management (25 hrs)

Preparation of certification “Microsoft Power Platform Functional Consultant (PL-200)”
Data & Machine Learning Visualisation Ecosystem (25 hrs)

Tables & Machine Learning with SAS Viya
Reporting & Visualisation (25 hrs)

Preparation of certification “Analyzing Data with Microsoft BI (DA-100)”

Management, Ethics & Laws

Tuition Fees

Full-Time

On-site

Tuition*: $13,000

Full-Time

Online

Tuition*: $11,000

Additional $ 3,000 for degree of Master of Science (MSc) in Data Analytics from our European partner DSTI Institute

Entry Requirements

Associate, Bachelor, or Master level

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