1. Data science foundations and setup (Week 1)
- •Introduction to the data science workflow
- •Working with Python and R for analysis
- •Setting up Anaconda and Jupyter Notebook
- •Understanding how data roles and projects are structured
6840+ Job Posting Available
-Recruiters prefer to hire Inventateq Students - Join Inventateq NowPlacements in Data Science: 1,342
Data Science Certification Course in Florida
Learn data science training in Florida with Python, R, SQL, Jupyter Notebook, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Apache Spark, Hadoop, Git, Docker, AWS SageMaker, and Google Cloud Vertex AI. Build practical analysis, machine learning, and reporting skills that fit real data science roles in Florida.
4.7/5 from 1,432 reviews
Hands-on training in Python, SQL, Pandas, NumPy, and Jupyter Notebook
Machine learning practice with Scikit-learn, TensorFlow, Keras, and PyTorch
Data visualization work using Tableau, Power BI, and Excel
Big data exposure with Apache Spark, Hadoop, MySQL, PostgreSQL, and MongoDB
Certification support, resume preparation, and interview guidance for Florida jobs
Job Interview
Guarantee Program
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 90 Days + Placement
Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online
Free Session
1 Hour Training Session
Get Job with our Guaranteed Placement Support Program
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Placement Record
How We Have Placed 10,000+ Students ?
5 LPA
Sukumar Roy
5 LPA • Data Scientist
8 LPA
Jagjith Rathode
8 LPA • Machine Learning Engineer
4 LPA
Lipika Shah
4 LPA • AI Engineer
4 LPA
Kutumb Sharma
4 LPA • Associate Product Manager
5.55 LPA
Sima
5.55 LPA • Data Scientist
7.5 LPA
Jyoti
7.5 LPA • Data Engineer
8 LPA
Aqib
8 LPA • Data Engineer
10 LPA
Muskan
10 LPA • Machine Learning Engineer
5.7 LPA
Aliya
5.7 LPA • ML Engineer
7 LPA
Sai Krishna
7 LPA • MLOps Engineer
7 LPA
Rafiya
7 LPA • Data Scientist
Placement Assistance for Data Science Professionals in Florida
Learning data science is only part of the outcome. You also need support turning that skill into interviews, shortlists, and a practical job search in Florida. Inventateq keeps the focus on employable work, job-role readiness, and placement preparation from the start.
Our Signature Career Support:
- Resume preparation for data science, data analyst, and junior data scientist roles
- Interview practice based on Python, SQL, machine learning, and dashboarding questions
- Project discussion support so you can explain your work clearly in interviews
- Career guidance for analyst, BI, data science, and data engineering pathways
- Mentor support on job-ready profiles, portfolio presentation, and application strategy
Data Science Salary Insights in Florida
Florida companies hire data science talent across analytics, business intelligence, operations, finance, marketing, and cloud-based data teams. Salary grows with stronger Python, SQL, machine learning, dashboarding, and deployment experience.
Data Science Average Salary by Experience
Data Science Salary Insights in Florida
Florida companies hire data science talent across analytics, business intelligence, operations, finance, marketing, and cloud-based data teams. Salary grows with stronger Python, SQL, machine learning, dashboarding, and deployment experience.
Data Science Average Salary by Experience
Why Students Choose Our Data Science Course in Florida?
4.7/5 Google Rating | 1,432+ Verified Reviews
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4.7 / 5
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Success Result: Our students are competing at global levels. Watch their placement journey here.
Bigdata Hadoop Placement Success Stories
Data Engineering @ Accenture - 12 LPA
Student Honest Reviews for Tally Course
Junior Accountant @ Fortis - 8 LPA
What Students Say About Our SQL Course
SQL Developer @ Wipro - 10 LPA
Genuine Student Feedback on Our SalesForce Course
Salesforce Administrator @ Deloitte - 15 LPA
How Our RPA Course Helped Students Build Their Careers
RPA Developer @ IBM - 20 LPA
Learning to Getting Hired – Tableau Student Reviews
Tableau Developer @ Genpact - 20 LPA
Real Student Reviews for HR Course
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Authentic Student Experiences on our Anjular Js Course
Angular Developer @ Capgemini - 15 LPA
Honest Student Reviews for Data Science Course
Data Analyst @ Amazon - 25 LPA
What Students Say About the Java Course
Java Developer @ Oracle - 25 LPA
Student Video Review for CATIA Course
CATIA Design Engineer @ TATA Motors - 20 LPA
Authentic Student Reviews for AWS Course
AWS Solutions Architect @ Accenture - 25 LPA
Honest Opinions from Python Course Students
Python Developer @ Mphasis - 15 LPA
Real Student Reviews for Software Testing
QA Engineer @ HCLTech - 15 LPA
Devops Course Reviews & Placement Experiences
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketing Course Success Stories | Student Reviews
Digital Marketer @ Google - 20 LPA
Inventateq Classroom Tour
BTM Layout @ Inventateq - -
Students Who Took the First Step
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
Bigdata Hadoop Placement Success Stories
Data Engineering @ Accenture - 12 LPA
Student Honest Reviews for Tally Course
Junior Accountant @ Fortis - 8 LPA
What Students Say About Our SQL Course
SQL Developer @ Wipro - 10 LPA
Genuine Student Feedback on Our SalesForce Course
Salesforce Administrator @ Deloitte - 15 LPA
How Our RPA Course Helped Students Build Their Careers
RPA Developer @ IBM - 20 LPA
Learning to Getting Hired – Tableau Student Reviews
Tableau Developer @ Genpact - 20 LPA
Real Student Reviews for HR Course
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Authentic Student Experiences on our Anjular Js Course
Angular Developer @ Capgemini - 15 LPA
Honest Student Reviews for Data Science Course
Data Analyst @ Amazon - 25 LPA
What Students Say About the Java Course
Java Developer @ Oracle - 25 LPA
Student Video Review for CATIA Course
CATIA Design Engineer @ TATA Motors - 20 LPA
Authentic Student Reviews for AWS Course
AWS Solutions Architect @ Accenture - 25 LPA
Honest Opinions from Python Course Students
Python Developer @ Mphasis - 15 LPA
Real Student Reviews for Software Testing
QA Engineer @ HCLTech - 15 LPA
Devops Course Reviews & Placement Experiences
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketing Course Success Stories | Student Reviews
Digital Marketer @ Google - 20 LPA
Inventateq Classroom Tour
BTM Layout @ Inventateq - -
Students Who Took the First Step
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
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GOOGLE RATING
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REVIEWS
4.7/5 · 1,432+ Verified Reviews
About Inventateq Data Science Training Institute in Florida
Inventateq teaches data science in a practical sequence, starting with Python, SQL, Pandas, and NumPy, then moving into Scikit-learn, TensorFlow, Keras, PyTorch, and visualization tools like Tableau and Power BI. The course is built around tools and workflows used in real projects, so learners can practice analysis, modeling, and reporting with confidence.
We stand apart through our commitment to:
- Learn to work with Python, R, SQL, and Jupyter Notebook from the basics
- Build hands-on projects using Pandas, NumPy, and Scikit-learn
- Practice dashboards and reporting with Tableau, Power BI, and Excel
- Get mentor support while working through machine learning and deployment topics
- Follow a schedule that suits weekday, weekend, classroom, or online learning
Live Online
Remote Learning
AI Online Live Classes
Live online data science training from Florida lets you join classes remotely without losing instructor access. Sessions stay practical, interactive, and focused on the same Python, SQL, machine learning, and dashboarding tools covered in class.
Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support
Data Science Training Program in Florida
Beginners
Good for learners who want to start data science with Python, SQL, and basic analytics.
Working Professionals
Useful for professionals moving into data analyst, BI, or junior data scientist roles.
IT Graduates
Fits graduates who want a structured path into machine learning and data roles.
Non-Technical Learners
Works for learners who can follow guided practice and want job-ready data skills.
Analytics Aspirants
Best for people aiming to build dashboards, reports, and predictive models.
Quick Highlights of Inventateq Data Science Course
Course Duration
Mode: Classroom and live online options
Training style: Hands-on, mentor-led sessions
Learning flow: Theory, practicals, assignments, certification
Schedule: Weekday and weekend batches available
No prior data science experience is required to begin this course.
Data Science Certification Course Curriculum
W1
2. Python for data handling (Week 2)
- •Python basics for data work
- •Using Pandas for cleaning and transformation
- •Applying NumPy for numerical operations
- •Practicing notebook-based analysis
3. SQL and databases (Week 3)
- •Writing SQL queries for data extraction
- •Working with MySQL and PostgreSQL
- •Using MongoDB for data storage exposure
- •Combining database data with analysis tasks
4. Data visualization and reporting (Week 4)
- •Creating charts and reports with Tableau
- •Building dashboards in Power BI
- •Using Excel for tabular analysis
- •Presenting findings in a clear business format
5. Statistics and data understanding (Week 5)
- •Reading and interpreting data patterns
- •Using statistics to support analysis
- •Preparing data for model building
- •Identifying useful features and relationships
6. Machine learning basics (Week 6)
- •Introduction to supervised and unsupervised learning
- •Modeling with Scikit-learn
- •Evaluating model output and performance
- •Understanding common machine learning workflows
7. Advanced machine learning frameworks (Week 7)
- •Working with TensorFlow and Keras
- •Using PyTorch for model development exposure
- •Comparing model-building approaches
- •Practicing structured experimentation
8. Big data tools (Week 8)
- •Introduction to Apache Spark
- •Understanding Hadoop concepts and use cases
- •Handling larger datasets and distributed processing
- •Connecting big data tools with analytics tasks
9. Version control and collaboration (Week 9)
- •Using Git and GitHub for code tracking
- •Managing project versions and updates
- •Sharing work for review and collaboration
- •Keeping analysis files organized
10. Cloud and deployment exposure (Week 10)
- •Using AWS SageMaker for machine learning work
- •Understanding Google Cloud Vertex AI
- •Introduction to model deployment concepts
- •Learning where cloud tools fit in real projects
11. Integrated project work (Week 11)
- •Combining Python, SQL, and visualization skills
- •Working through data science assignments
- •Building project outputs that can be discussed in interviews
- •Preparing a final presentation of the work
12. Certification and interview preparation (Week 12)
- •Course certification review
- •Resume preparation for data roles
- •Mock interview practice
- •Job-role targeting for placement support
Rated 4.9/5
Why Inventateq for Data Science Training in Florida?
Inventateq focuses on practical data science training that learners can apply in interviews and jobs. The course follows a clear path from Python and SQL to machine learning, visualization, big data tools, and project work.
Why Students Trust Inventateq Florida
- Trainers explain concepts clearly and keep the sessions practical
- Course content follows a structured path from basics to job-ready tools
- Students get support while working through assignments and projects
- Training stays focused on employability, not just classroom theory
- The learning environment is supportive for beginners and career switchers
Build Data Science Skills That Support Real Career Growth
This course helps you practice the tools used in analytics and data science jobs. You leave with project experience, clearer fundamentals, and a better way to speak about your work in interviews.
Build real analysis projects
Work through data tasks using Python, Pandas, NumPy, SQL, and notebooks so your learning is tied to practical output.
Create dashboards and reports
Use Tableau, Power BI, and Excel to turn data into business-friendly visuals and summaries.
Practice machine learning workflows
Train and evaluate models with Scikit-learn, TensorFlow, Keras, and PyTorch.
Work with big data tools
Get exposure to Apache Spark and Hadoop so you understand larger-scale data processing.
Use tools employers recognize
Train on Git, GitHub, AWS SageMaker, and Google Cloud Vertex AI along with core analytics tools.
Prepare for job interviews
Present your projects clearly, explain your methods, and prepare for data analyst and data scientist roles.
Certification for Data Science Training
The certification validates that you have completed structured training in Python, SQL, machine learning, visualization, and related tools. It gives employers a clearer view of your hands-on preparation and helps support your job profile.
Python, Pandas, NumPy, and Jupyter Notebook
Earn this certificate upon successful completion of our training program.
SQL, MySQL, PostgreSQL, and MongoDB
Validate your skills with recognized industry credentials.
Scikit-learn, TensorFlow, Keras, and PyTorch
Earn this certificate upon successful completion of our training program.
Tableau, Power BI, and Excel
Validate your skills with recognized industry credentials.
Detailed Insights: Data Science Training in Florida
Students Frequently Asked Questions
Is this data science course in Florida suitable for beginners?
Yes. The course starts with the basics of Python, SQL, and data handling before moving into machine learning and advanced tools. Beginners can follow the training step by step with mentor support.
Will I work on hands-on projects?
Yes, the course is practical and project-based. You will use tools like Pandas, NumPy, Scikit-learn, Tableau, Power BI, and notebooks in exercises and assignments. The goal is to build skills you can explain in interviews.
Does Inventateq provide placement assistance?
Yes. Placement support includes resume preparation, interview practice, project presentation guidance, and career direction for data roles. The support is meant to help you move from training into interviews with a stronger profile.
Can non-technical students join this data science training in Florida?
Yes, non-technical learners can join if they are ready to learn step by step. The course introduces the core tools and concepts in a structured way. Mentor guidance helps you handle the transition from basic data work to machine learning topics.
Is live online training available from Florida?
Yes. You can join live online sessions from Florida and learn the same practical curriculum covered in classroom batches. The sessions remain interactive, with direct trainer support and assignments.
How long is the course and what mode options are available?
The course follows a structured training path with weekday and weekend batch options. You can choose classroom or live online mode depending on your schedule. Both formats are designed to keep the learning practical and consistent.
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