1. Python and Data Science Setup (Week 1)
- •Introduction to Python for data science
- •Working in Anaconda and Jupyter Notebook
- •Basic data types, logic, and notebook workflow
- •First steps in reading and organizing data
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-Recruiters prefer to hire Inventateq Students - Join Inventateq NowPlacements in Data Science: 1,342
Data Science Training in San Jose with Certification
Learn data science in San Jose with Python, R, SQL, Jupyter Notebook, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, and Power BI. This course is built around practical analysis, model building, and project work so you can move from raw data to usable insights.
4.7/5 from 1,432 reviews
Hands-on training with Python, SQL, Pandas, NumPy, and Jupyter Notebook
Build projects using Scikit-learn, TensorFlow, Keras, and PyTorch
Learn data visualization with Tableau, Power BI, and Excel
Covers data handling, machine learning, and analytics workflow
Certification support plus interview preparation for San Jose roles
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
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Placement Assistance for Data Science Professionals in San Jose
Learning data science is only useful when you can show it in interviews and on the job. Inventateq focuses on practical preparation for San Jose job roles so you can present your projects, tools, and problem-solving clearly.
Our Signature Career Support:
- Resume help tailored to data science, data analyst, and junior data scientist roles
- Project portfolio guidance using Python, SQL, Tableau, and machine learning work
- Mock interviews for analytics, model-building, and tool-based questions
- Career mentoring for internship and entry-level openings in San Jose
- Support with job-role positioning for analyst, BI, and ML tracks
Data Science Salary Insights in San Jose
San Jose has strong demand for data science talent across tech, analytics, finance, and product teams. Pay grows with depth in Python, SQL, machine learning, dashboards, and deployment.
Average Salary by Experience
Data Science Salary Insights in San Jose
San Jose has strong demand for data science talent across tech, analytics, finance, and product teams. Pay grows with depth in Python, SQL, machine learning, dashboards, and deployment.
Average Salary by Experience
Why Students Choose Our Data Science Course in San Jose?
4.7/5 Google Rating | 1,432+ Verified Reviews
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Success Result: Our students are competing at global levels. Watch their placement journey here.
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About Inventateq Data Science Training Institute in San Jose
Inventateq teaches data science with a clear focus on tools, workflow, and results. The course follows a practical path through Python, SQL, visualization, machine learning, and project work so learners can apply each topic instead of just reading theory.
We stand apart through our commitment to:
- Learn data science step by step with Python, SQL, and machine learning tools
- Work on practical assignments that follow the course syllabus
- Get mentor support while you build analytics and model-based projects
- Prepare for data analyst, BI, and data scientist interview roles
- Choose classroom or online training with placement guidance
Live Online
Remote Learning
AI Online Live Classes
The live online experience is built for San Jose learners who want flexibility without losing interaction. You attend the same practical sessions, work through the same syllabus, and get support from mentors during class and project work.
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
Beginners
Good for learners who want to start with Python, SQL, and analytics from the basics.
Graduates
Useful for fresh graduates who want job-ready data science skills and project exposure.
Working Professionals
Fits professionals moving from reporting, support, or operations into analytics roles.
Career Switchers
Works well for people shifting into data analyst or junior data scientist roles.
Non-technical Learners
Suitable for learners who are ready to study tools, logic, and hands-on practice step by step.
Quick Highlights of Inventateq Data Science Course
Course Duration
Mode: Classroom and live online training
Format: Theory, practicals, assignments, and certification
Support: Mentor guidance through the course
Schedule: Weekday and weekend batch options
No prior data science experience is needed to start.
Data Science Curriculum
W1
2. SQL and Database Handling (Week 2)
- •SQL queries for data extraction
- •Working with MySQL and PostgreSQL basics
- •Filtering, joining, and summarizing data
- •Using databases as part of analytics work
3. Data Preparation with Pandas and NumPy (Week 3)
- •Cleaning and transforming datasets with Pandas
- •Using NumPy for numerical operations
- •Handling missing values and basic feature preparation
- •Structuring data for analysis and model input
4. Data Visualization and Reporting (Week 4)
- •Creating charts and visuals in Excel
- •Dashboard work with Tableau and Power BI
- •Presenting patterns and trends from data
- •Turning analysis into clear business reporting
5. Statistics and Analytical Thinking (Week 5)
- •Understanding data patterns and distributions
- •Using analytical thinking for business questions
- •Comparing variables and interpreting results
- •Building a foundation for model evaluation
6. Machine Learning Foundations (Week 6)
- •Introduction to machine learning concepts
- •Supervised and unsupervised learning basics
- •Training and testing models with Scikit-learn
- •Evaluating model output and accuracy
7. Model Building with Core Libraries (Week 7)
- •Using TensorFlow, Keras, and PyTorch
- •Practical model development workflow
- •Working through common classification and prediction tasks
- •Connecting model choices to problem type
8. Applied Data Science Projects (Week 8)
- •Project-based practice using real-world style datasets
- •Combining Python, SQL, and visualization in one workflow
- •Working through assignments and guided tasks
- •Preparing project explanations for interviews
9. Big Data and Scalable Data Handling (Week 9)
- •Introduction to Apache Spark and Hadoop
- •Understanding large-data processing basics
- •When to use distributed tools in analytics
- •Overview of data engineering style workflows
10. Version Control and Collaboration (Week 10)
- •Using Git and GitHub for project tracking
- •Sharing notebooks and code clearly
- •Basic collaboration workflow for data projects
- •Keeping versions organized during practice work
11. Cloud and Deployment Exposure (Week 11)
- •Introduction to AWS SageMaker and Google Cloud Vertex AI
- •Basic model deployment concepts
- •Using Docker in a data science workflow
- •Understanding how models move beyond local notebooks
Rated 4.9/5
Why Inventateq for Data Science Training in San Jose?
Inventateq keeps the training practical from the first class. Learners move through Python, SQL, visualization, machine learning, and cloud exposure with support that is tied to course work, not just lectures.
Why Students Trust Inventateq San Jose
- Trainers explain data science in a clear, usable way
- The curriculum stays aligned with practical tools and job expectations
- Supportive mentoring helps learners who need extra guidance
- Assignments and projects make the learning process active
- Placement support helps students prepare for interviews and resumes
Build Practical Data Science Skills for Real Job Roles
By the end of training, learners have worked with the same tools used in entry-level and mid-level data science jobs. The focus is on usable skills, project practice, and interview readiness.
Work with Real Data Tools
Use Python, SQL, Pandas, NumPy, and Jupyter Notebook to clean, explore, and analyze datasets.
Create Useful Dashboards
Turn data into reports and dashboards using Tableau, Power BI, and Excel.
Build Machine Learning Models
Practice supervised and unsupervised learning with Scikit-learn and model libraries like TensorFlow and PyTorch.
Complete Guided Projects
Apply the syllabus in project work so you can explain your process in interviews.
Understand Scalable Workflows
Get exposure to Spark, Hadoop, Git, Docker, and cloud-based tools used in modern data teams.
Prepare for Hiring Conversations
Learn how to describe your skills for analyst, BI, junior data scientist, and ML-related roles.
Data Science Training Certification
This certification shows that you have completed structured training in data science tools, analysis workflow, and project-based learning. It helps employers see that you have worked through practical topics instead of only studying theory.
Python, SQL, and Jupyter Notebook skills
Earn this certificate upon successful completion of our training program.
Pandas, NumPy, and Scikit-learn application
Validate your skills with recognized industry credentials.
Tableau, Power BI, and Excel reporting work
Earn this certificate upon successful completion of our training program.
TensorFlow, Keras, PyTorch, and cloud tool exposure
Validate your skills with recognized industry credentials.
Detailed Insights: Data Science Training in San Jose
Students Frequently Asked Questions
Is this data science course suitable for beginners in San Jose?
Yes, the course is suitable for beginners who want to start with the basics and move forward step by step. It begins with Python, Jupyter Notebook, and core data handling before moving into SQL, visualization, and machine learning. You do not need prior job experience to join.
Will I get hands-on projects in this data science training?
Yes, the course is practical and project-oriented. You work through assignments and applied tasks that use Python, SQL, Pandas, machine learning libraries, and dashboard tools. The goal is to help you explain your work clearly in interviews.
Does Inventateq provide placement assistance for data science roles?
Yes, placement support is part of the training process. Inventateq helps with resume preparation, mock interviews, portfolio presentation, and job-role guidance. The support is aimed at data analyst, BI, and junior data scientist opportunities.
Can non-technical students join this course?
Yes, non-technical learners can join if they are ready to learn tools and practice regularly. The training starts with foundation topics and then builds toward analysis and machine learning. The mentor support helps make the learning process manageable.
Is there a live online option for learners in San Jose?
Yes, the course is available in a live online format. You can attend sessions remotely, ask questions in real time, and follow the same practical syllabus. This is useful if you want structured training without traveling to a classroom.
How long does the course take and what is the learning format?
The course is taught in a structured classroom or live online format, with weekday and weekend options. Training includes theory, practicals, assignments, and certification support. The exact pace depends on the batch schedule and learning flow.
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