Top 10 Data Analytics Courses In France With Placements

Name: Data Analytics Master Course
Brand: IIM SKILLS
SKU: DAMC-07/23
Price: 560.45 EUR
Availability: InStock
Rating: 9.9 (108021 reviews)

June 29, 2025|

Bhavni Sikdar |

Category:Courses,Data Analytics,

Data analytics is now emerging as a viable career option in a data-driven world where truly seamless businesses are run by skilled analysts with a thorough understanding of machine learning and data pattern analysis to derive precise, predictable insights beyond conventional business intelligence. Enterprises such as HSBC, PepsiCo, Amazon, Netflix, and many more illustrate how to efficiently use analytics. In an era of employment crisis, where AI is expected to replace many people’s jobs, the position of a data analyst remains timeless since it is entirely dependent on human insights. As a result, pursuing advanced data analytics courses in France is an excellent method to develop your career and even acquire a high-paying position.

DATA ANALYTICS COURSES IN FRANCE

What Is Data Analytics?

Understanding the market and clients is critical for business success. However, obtaining those insights has always presented obstacles. In today’s digital world, you need a data analytics solution that combines the finest of analytics and data management skills so that you can quickly and easily access and evaluate the information you need—when and how you need it.

Today’s data-driven world relies heavily on data analysis. It enables enterprises to leverage the power of data, make choices, optimize operations, and gain a competitive advantage. By transforming raw data into relevant insights, data analysis enables firms to uncover opportunities, minimize risks, and improve overall performance.

History Of Data Analytics

Historically, analyzing statistics and interpreting data for business insights was a laborious, time-consuming process, with spreadsheets serving as the primary instrument. Starting in the 1970s, organizations began to regulate electronic technology, such as databases, data warehouses, machine learning, web search solutions, and other tools with the ability to facilitate, speed, and automate analytics processes.

However, as technology progresses and market demand grows, new obstacles emerge. An increasing number of competitive, often conflicting analytics and data management solutions eventually resulted in technological silos, not just within departments and organizations, but also with external partners and suppliers.

In addition, some of these solutions are so intricate that they need technical expertise above the average corporate user, limiting their applicability. Modern data sources have also limited the ability of traditional relational databases along with additional tools to enter, search, and modify enormous amounts of data.

These tools were developed to handle structured data like names, dates, and addresses. Conventional tools cannot process and evaluate unstructured data created by modern data sources, such as email, text, video, audio, word processing, and satellite imagery.

Accessing an increasing number of data sources and deciding what is important is difficult, especially because the bulk of data created today is semi-structured or unstructured.

How Might Data Analytics Help Businesses Make Better Decisions?

It might be challenging to extract specific metrics or key performance indicators (KPIs) from data. With data dispersed throughout a company, efficiently obtaining unified information can be challenging. Acquiring the desired information or ideas your organization needs to compete usually takes too a while and requires excessive effort.

This is frequently owing to a suspected lack of analytics skills. The data is easily accessible; however, no tool allows for quick access. Again, the data is frequently fragmented, so personnel must physically collect it before beginning their research.

However, before conducting any analysis, the data must be integrated, most frequently by attempting to use a spreadsheet as a database and then creating metrics or analytics from it.

This data collection technique is significantly more complicated and time-consuming than the actual data analysis. And because it’s also very manual, it’s not reliable, so when new analysis is required later it becomes tough and time-consuming and the process has to be done again.

This strategy also introduces a data consistency concern. Far too frequently, coworkers exchange a spreadsheet that is modified over time. As a consequence, the original spreadsheet went out of sync since separate teams used different versions and no one had access to a common, up-to-date source.

Compound this problem with formula problems between versions and missing links that come with spreadsheet sharing. All of the usual spreadsheet issues exist here, but they are exacerbated by attempting to use a spreadsheet as a temporary database.

This thus makes data analytics a boon for businesses to run efficiently and makes it a great time to consider enrolling in one of the Data Analytics Courses in France.

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Types of Data Analytics

There are four main forms of data analytics these are discussed briefly.

Predictive Data Analytics

Predictive analytics might be the most widely used type of data analysis. Businesses utilize predictive analytics to discover patterns, correlations, and causality. The category can be further divided into predictive modeling and statistical modeling; nonetheless, it is vital to note that the two are inextricably linked.

For example, a Facebook t-shirt advertising campaign may use predictive analytics to see how closely the conversion rate connects with a target audience’s geographic area, economic bracket, and interests. Predictive modeling might then be used to assess the data for two (or more) target groups and estimate revenue for each demographic.

Prescriptive Data Analytics

Prescriptive analytics combines AI and large data to assist predict outcomes and choosing what actions to take. This type of analytics can be further subdivided into efficiency and random testing.

Prescriptive analytics, with advances in machine learning, can help solve questions like “What if we try this?” and “What is the best action?”. You can test the appropriate variables and even recommend new variables that have a better possibility of producing a positive result.

Diagnostic Data Analytics

While it is not forecasting the future, reviewing historical data can help guide your organization. Diagnostic data analytics is the process of evaluating data to determine the cause of an event or why something occurred.

Drill down, data discovery, data mining, and correlations are all often used techniques. Diagnostic data analytics can assist explain why something happened. It, like the other categories, is divided into two subcategories: discover and alerts, and query and drill down.

Query and drill-downs are used to extract more information from a report. For example, consider a sales representative who closed much less business in one month. A dig down may reveal fewer workdays due to a two-week vacation.

Discover and notifications. Inform of a potential issue before it arises, such as a warning about a reduction in employee hours, which could result in a decline in closed deals. You may also employ diagnostic data analytics to “discover” information, such as the most suitable applicant for a new position at your organization.

4. Descriptive Data Analytics

Descriptive analytics are the foundation of reporting; business intelligence (BI) tools and dashboards cannot exist without them. It answers fundamental inquiries like “how many, where, at what time, and what.” Again, descriptive analytics can be divided into two types: ad hoc reporting and prepared reports.

A manufactured report has been already designed and contains information about a specific subject. A document every month sent by your ad agency or ad team detailing performance numbers on your most recent ad campaign is one example.

Now that we’ve covered the meaning, use, and types of data analytics, let’s look into some of the best Data Analytics Courses in France that you may consider enrolling in.

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List Of 10 Best Data Analytics Courses in France

COURSE	FEES	DURATION
IIM SKILLS	$1001.50 + 18% TAX	6 months + 2 months internship
Rennes School of Business	€ 25,000	2 years
EPITA School of Engineering and Computer Science	€ 14,760	18 – 24 months
Data Science Tech Institute	€ 14,850	15 – 24 months
EDHEC Business School	€ 22,950	18 – 24 months
Grenoble Ecole de Management	€ 16,750	1 – 2 year
Paris School of Business	€ 17,075	1 year
IMT Atlantique	€ 5,100	2 years
École Polytechnique	€14,900	2 years
Centrale Supélec	€ 27000	1-2 years

Top 10 Data Analytics Courses in France With Placements

1. IIM SKILLS

IIM SKILLS provides data analytics courses in France. It is a comprehensive course that includes all of the tools and technology that a student needs to excel in the area of data analytics.

The online course is delivered on weekends to accommodate the availability and accessibility of participants from various walks of life. Faculty who are alumni of top-tier institutes are extremely trained instructors who ensure that subject delivery is consistent with current industry standards.

Course Details:

Name: Data Analytics Course

Duration: 6 Months of Training + 2 Months Internship (optional)

Fees: 560.45 Euros + Taxes

EMI: Interest Free

Certification: Yes

Mode of Learning: Online

Course Modules:

Module Name	Important Topic
Module 1: Basic and Advance Excel	Introduction to Data Handling
	Data Manipulation Using Functions
	Data Analysis and Reporting
	Data Visualization in Excel
	Overview of Dashboards

Module 2: Visual Basic Application	Introducing VBA
	How VBA Works with Excel
	Key Components of Programming Language
	Programming Constructs in VBA
	Functions & Procedures in VBA
	Objects & Memory Management in VBA
	Error Handling
	Controlling Accessibility of Your Code
	Communicating with Your Users

Module 3: SQL	Basics RDBMS Concepts
	Utilizing the Object Explorer
	Data Based Objects Creation (DDL Commands)
	Data Manipulation (DML Commands)
	Accessing Data from Multiple Tables Using SELECT
	Optimizing Your Work

Module 3.1: SQL Server Reporting Services	Basics of SSRS
	Creating Parameters
	Understanding Visualization
	Creating Visualization Using SSRS

Module 3.2: SQL Server Integration Services	Understanding Basics of SSIS
	Understanding Packages
	Creating Packages to Integrate
	Creating Project Using SSIS

Module 4: Power BI	Introduction
	Data Preparation and Modeling
	Data Analysis Expressions (DAX)
	Reports Development (Visuals in Power BI)

Module 5: Data Analytics Using Python	Introduction to Basic Statistics
	Introduction to Mathematical Foundations
	Introduction to Analytics & Data Science
	Python Essentials (Core)
	Operations with NumPy (Numerical Python)
	Overview of Pandas
	Cleansing Data with Python
	Data Analysis Using Python
	Data Visualization with Python
	Statistical Methods & Hypothesis Testing

Module 6: Tableau	Getting Started
	Data Handling & Summaries
	Reports Development (Visuals in Tableau)

Module 7: R For Data Science	Data Importing/Exporting
	Data Manipulation
	Data Analysis
	Using R with Databases
	Data Visualization with R
	Introduction to Statistics
	Linear Regression: Solving Regression Problems

Module 8: Alteryx	Overview of the Alteryx Course and Fundamental Concepts
	Using the Select Tool to Rename Fields, Change the Data Type
	Understanding the User Environment and Alteryx Settings
	Filtering Data/Data Processing
	Blending/Joining Data from Different Sources
	Data Cleansing
	Impute Values
	Random Sample

In this data analytics training program in France, an abundance of case studies, tasks, and projects promotes greater recall and comprehension of the theoretical material given.

Lifetime access to the Learning Management System, as well as institute assistance, ensuring that learning materials, activities, and reading materials are always available. The internship prepares students for the different real-world challenges they may face.

Other Professional Courses from IIM SKILLS

Contact Information:

Contact: +91 9580 740 740

Email: info@iimskills.com

Website: www.iimskills.com

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2. EPITA School of Engineering and Computer Science

EPITA’s Data Analytics Courses in France last 18 months and are taught entirely in English. The course offers students a solid foundation in machine learning and programming, as well as practical experience.

This data analytics training program in France has been accredited by the CGE. The program’s goal is to give students a strong foundation in machine learning and programming, as well as hands-on experience.

Its curriculum integrates computer and statistical sciences to prepare students to develop cutting-edge tools for data processing (Big Data). Students will learn how to create methods, algorithms, and software that extract and show useful information.

Course Curriculum

Programming skills

Advanced Algorithmic
Operation Systems: Unix
Introduction to Python
Relational Databases

Technical Foundation

Digital Transformation
Data Privacy by Design
Introduction to Block Chain & Bitcoin
Introduction to Network Protocols & Architecture
Technical Warmup

Advanced Management & Business Strategy

Corporate Finance
Communication for Leaders
Project Management Principles
Enterprise Essentials

Cultural Integration

Cultural Integration Workshop
General French (All levels)
Managing the Culture Shock

Contact Details

Phone: +33 1 44 08 01 01

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3. Data Science Tech Institute (DSTI)

Gain a solid grounding in data analytics principles with flexible full-time, part-time, or blended study choices that begin in the spring or autumn.

Their data analytics training program in France focuses on basic principles, practical skills, real-world projects, and professional mentoring to ensure that graduates are equipped for the job market. The curriculum includes data mining, statistical analysis, machine learning, data visualization, and big data technologies and is provided in a variety of flexible formats.

Students work on real-world projects with industry-standard tools and technology, guided by experienced teachers.

Course Curriculum

Introduction Courses

Fundamental applied mathematics
Data structure
Data Management
Computer Architecture
Clean IT
Excel Basics

Data Analytics Applied Mathematics

Statistical Analysis
Big Data Processing
Python Machine Learning
Semantic Web technologies

Databases

Data Wrangling
Data warehousing
Graph Databases
Document Databases
Data Pipeline

Data Management and Visualisation

Advanced Excel
Data Visualisation Ecosystem
Reporting
Data Management

Operational Methodologies

Data Laws & Regulations
IT Project Management
6-month mandatory internship

Technologies in Data Analytics

Python
R
SQL
Microsoft PowerBI
SAS Viya
MongoDB
Neo4j
Web Semantics

Contact Details

Phone: +33 4 89 41 29 44

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4. EDHEC Business School

EDHEC’s Data Analytics Courses in France are an innovative and comprehensive curriculum that will prepare you to face these new problems. You will learn artificial intelligence methods and develop the managerial decision-making abilities required to play an active role in your company’s sustainable transformation efforts.

Their online data analytics training program in France combines Data Management and Business Analytics. It is an EDHEC diploma designed to train experts and professionals to master the data management process (data collection, tools and techniques, model creation, analysis, and management process), allowing them to begin working immediately in their respective fields.

Course Curriculum

Fundamentals In Data Management

Basic Statistics
Coding with Python
Machine & Deep Learning

Manipulating & Analysing Data

Relational and non-relational database (With Stirling University)
Ethics & Data
Data Visualisation

Understanding The Market

Managing Innovation
Digital Business Models

Analysing Data Insights

Data Analytics for Managers (With ESMT Berlin)
Social Data Intelligence
Marketing Analytics

Financial Analytics Track

Advanced Portfolio Management with Machine learning
Financial Analytics & Portfolio Management
Corporate Finance

Business Analytics Track

Supply-Chain Analytics
Effective Stakeholder Engagement
Strategy
People, Teams & Organisation

Contact Details

Phone: +33 3 20 15 45 00

Website- https://www.edhec.edu/en

5. Grenoble Ecole de Management

The goal of Grenoble Ecole de Management is to prepare students to excel in fast-paced, technologically driven situations by providing them with highly sought-after employability skills such as understanding consumer behavior, developing effective digital marketing strategies, and making data-driven business decisions.

They offer Data Analytics Courses in France that combine Digital Marketing and Data Analytics. It is ideal for anybody wishing to start or develop their career in this exciting industry.

Course Curriculum

Data Visualization
Ethics for Data Marketing
Advanced Research Methods
Digital Marketing
IA, Deep Learning & Machine Learning
Marketing Analytics with R
Languages

Contact Details

Phone Number- +33 4 76 70 60 60

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6. Rennes School of Business

The Rennes School of Business is offering Data Analytics Courses in France. It is one of the unique data analytics institutes in France that is integrating Data Analysis, Intelligence, and Security all into one program.

The program prepares prospective managers with data science and analytical abilities to collect, evaluate, and synthesize important business and finance data, utilizing the power of new AI technologies to better managerial decisions across the organization.

Course Curriculum

Financial Data Track:

Deep Learning & Neural Networks
Coding and Data Science
Data Infrastructure and Text Mining
Engineering and Commodity Trading
Block Chain and Crypto Assets

Data & Business Analytics Track:

Big Data and Business Analytics
Data Project Management
Case Studies
Data-Driven Demand Planning
Harnessing AI for Business

Contact Details

Phone Number- +33 2 99 54 63 63

7. Paris School of Business

The Paris School of Business provides students with Data Analytics Courses in France. The course aims to provide learners with the knowledge and abilities required to derive useful insights from information to develop a more accurate marketing strategy.

It looks at valuable ways to identify, collect, manage, and understand marketing data for profitable usage, as well as how to turn that knowledge into useful and efficient marketing strategies.

Graduates will be able to develop and execute a successful marketing plan based on novel real-time induction algorithms and information mining.

Through this data analytics training program in France, students then learn how to apply business theories to marketing practice while honing their teamwork and management abilities and deepening their expertise in data analytics. This includes statistical modeling, quantitative analysis, and analytical software application.

Course Curriculum

The course curriculum can be requested by the institute.

8. IMT Atlantique

The IMT Atlantique’s Data Analytics Courses in France are aimed at future experts in creating outstanding performance systems that support data mining, knowledge extraction, and decision-making. This data analytics training program in France is provided by the Graduate Engineering School’s Data Science department, to prepare students for the data-driven world of tomorrow.

Course Curriculum

Communication network basics
Mathematical tools
Probability theory, statistics & digital signal processing
Computer science fundamentals
Data Science
Projects & Workshops

Contact Details

Phone- +33 2 51 85 81 00

9. École Polytechnique

École Polytechnique, founded in 1794, is a leading provider of Data Analytics Courses in France. It is a world-class institution that has produced many distinguished graduates, notably three French Presidents, several business leaders, and three Nobel Laureates. It is consistently ranked as one of the top two best universities in the country by world rankings.

Their one-of-a-kind data analytics training program in France brings together three complementing areas that are typically taught independently at this level of study.

Microeconomic analysis: The microeconomics portion provides students with skills for understanding about business strategic decisions and interactions in a constantly changing environment. Students concentrate on topics including market and industrial organization, game theory, and econometrics.

The second is Corporate finance which is the study of how businesses make their financial decisions. Students learn about numerous analytical methodologies specific to each discipline and work on quantitative case studies. And finally, in Data analytics where they teach students about econometrics, statistics, and big data, the program prepares them to analyze and interpret data. This makes it one of the best data analytics institutes in France.

Course Curriculum

Each trimester, students take:

Mandatory courses in microeconomics
Mandatory courses in data analytics
Mandatory courses in corporate finance
One extra elective course

10. Centrale Supélec

Centrale Supélec is one of the best data analytics institutes in France that officially opened in 2015, but its origins can be traced back to the nineteenth century when a pair of institutions—Central School Paris (1829) and Higher School of Electricity (1894)—had been established to help France participate actively in the Industrial Era.

The school is currently ranked among the best universities in France and around the world. Their Data Analytics Courses in France are organized into three periods. Students can complete the Major in Data Science program by selecting at least four elective courses. Classes for this major are held at the Centrale Supélec Saclay Campus in France.

The last period is set aside for internship and thesis completion.

Course Curriculum

The course curriculum can be requested by the institute.

Contact Details

Phone Number- +33 (0)1 75 31 60 00

Frequently Asked Questions

Q. Are these courses appropriate for beginners who have no prior experience with data analytics?

Yes, these classes are appropriate for novices who have no prior experience. These programs offer complete training, ranging from basic to advanced.

Q. What duration do these data analytics courses in France last?

The duration might range from short-term seminars and classes lasting a few days to diploma or certificate programs that last many months.

Q. What teaching approaches are used by data analytics institutes in France?

Hands-on experience, lectures, case studies, group projects, and practical assignments are all possible teaching approaches.

Q. What professional paths may I take after completing data analytics courses in France?

Graduates of data analytics schools can pursue different job pathways across industries such as data analysis, business analysis, and data science.

Q. Do the data analytics institutes in France provide certification or credentials upon their completion?

Yes, after completing the data analytics courses in France, you will receive certification or credentials which can then be added to your CV or LinkedIn profile to boost your credentials.

Conclusion

In conclusion, students are keenly looking to enroll in data analytics institutes in France due to the growing importance of data-driven decision-making in numerous businesses. The emergence of big data technology and cloud computing solutions is enabling enterprises to manage and analyze data, creating new potential for growth and competitiveness.

The integration of data analytics in industries such as tourism, banking, and healthcare has the potential to transform operations, optimize resource allocation, and enhance customer experiences.

Data Analytics Courses in France provide students with fundamental information and practical skills in data visualization and machine learning approaches. The courses offer hands-on projects real-world case studies and a course curriculum to get you prepared for the job market.