DATA SCIENCE
Internship 2024
Acquire cutting-edge knowledge on the Domain of Data science and put it into practice through an internship program that provides access to industry-leading tools and guidance from experts.
1/ 2 Months
Online
8+ Live Projects
Dual Certification
Ultimate Step towards your Career Goals: Expert in AI Technologies
Get ahead with the FutureTech Industrial Internship Program: gain hands-on experience, connect with industry leaders, and develop cutting-edge skills. Earn a stipend, receive expert mentorship, and obtain a certificate to boost your career prospects. Transform your future with practical, real-world learning today
Internship Benifits
Mentorship
Receive guidance and insights from industry experts.
Hands-on Experience
Gain practical skills in a real-world cutting-edge projects.
Networking
Connect with professionals and peers in your field.
Skill Development
Enhance your technical and soft skills.
Career Advancement
Boost your resume with valuable experience.
Certificate
Get a certification to showcase your achievements.
AI Internship Overview
This outline provides a comprehensive roadmap for mastering Python for Data Science, covering essential programming skills, data analysis, machine learning, and practical project applications. Dive in and start transforming data into actionable insights!
Key Highlights:
Understand the fundamentals and significance of data science.
Learn the essentials and advanced aspects of Python programming.
Exploratory Data Analysis (EDA) & Visualization:
- Techniques for analyzing data patterns and creating visual representations
Probability and Statistics for Data Science:
- Learn the foundational concepts of probability and statistics.
Supervised & Unsupervised Learning:
- Supervised Learning: Explore regression and classification models.
- Unsupervised Learning: Discover clustering models.
Tools for Data Visualization:
Tableau: Introduction to Tableau, data sources, and worksheets.
Power BI: Visualize data with various charts, plots, and maps.
Libraries for Data Science:
Pandas: Master data manipulation and analysis.
NumPy: Handle numerical operations and arrays.
Matplotlib: Create data visualizations with plots and graphs.
Seaborn: Generate advanced data visualizations.
Data Science Elements:
Data Collection: Techniques for gathering data.
Data Wrangling & Cleaning: Prepare and clean your data for analysis.
Machine Learning, Data Processing & Feature Engineering:
- Introduction to Machine Learning: Learn concepts and types of learning.
- Preprocessing Data: Prepare data for machine learning models.
- Feature Selection & Engineering: Enhance model performance.
- Handling Missing Data & Outliers: Ensure data integrity.
- Encoding Categorical Variables & Scaling Numerical Variables: Transform your data.
Data Science Project Applications:
Credit Score Classification: Predict credit scores.
Stress Prediction: Analyze stress levels.
Social Media Ads Classification: Classify ads on social media.
Electricity Price Prediction: Forecast electricity prices.
Ground Water Level Prediction: Predict water levels.
Churn Analysis Prediction: Predict customer churn.
Drowsiness Detection Using CNN: Detect driver drowsiness.
Chatbot Creation: Build intelligent chatbots.
Looking for in-depth Syllabus Information? Explore your endless possibilities in AI with our Brochure!
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Project Submission: Example Output Screenshots from Our Clients
Take a look at these sample outputs crafted by our clients. These screenshots showcase the impressive results achieved through our courses and projects. Be inspired by their work and visualize what you can create!
Dual Certification: Internship Completion & Participation
Earn prestigious Dual Certification upon successful completion of our internship program. This recognition validates both your participation and the skills you have honed during the internship, providing a competitive edge in your professional journey. Show off your expertise with pride!
How does this Internship Program Work?
Step 1 Enroll in the Program
✅ Get a Mentor Assigned
✅Presentations & Practice Codes
✅ Learn at your Flexible Time
✅ Apprehend the concepts
Step 2 Project Development
✅ Implement Skills Learn
✅ Develop Projects with assistance
✅ Get Codes for Reference
✅ Visualise the Concepts
Step 3 Certification
✅ Get Certified
✅ Certificate of Internship
✅ Project Completion Certificate
✅ Share on social media
✅ Get Job Notifications
Internship Letter (LoR)
Internship Report
Flexible Schedules
1 Month
₹1999/-
1 Month
- Internship Acceptance Letter
- 90 Days from the date of payment
- 4 LIVE interactive Mastermind Sessions
- 4+ Capstone Projects & Codes
- Full Roadmap
- Internship Report
- 1 Month Internship Certificate
₹3299/-
2 Month
- Internship Acceptance Letter
- 180 Days from the date of payment
- 4 LIVE interactive Mastermind Sessions
- 12+ Capstone Projects & Codes
- Full Roadmap
- Internship Report
- Participation Certificate
- 2 Month Internship Certificate
Our Alumni Employers
Curious where our graduates make their mark? Our students go on to excel in leading tech companies, innovative startups, and prestigious research institutions. Their advanced skills and hands-on experience make them highly sought-after professionals in the industry.
FAQ
What kind of projects will I work on?
Projects range from basic tasks like building a recommendation system or salary prediction model to advanced projects like image classification, face recognition, and NLP applications.
What is AI?
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and solve problems.
What is Python and why is it important?
Python is a popular programming language known for its simplicity and readability, making it perfect for beginners and widely used in AI and machine learning.
What are machine learning and deep learning?
Machine learning is a subset of AI focused on building algorithms that enable computers to learn from and make predictions based on data. Deep learning is a further subset that uses neural networks with many layers to analyze various factors of data.
What are the basic steps to start learning AI?
Begin with understanding Python programming, then move on to learning key libraries like NumPy, Pandas, and Scikit-learn, followed by studying machine learning and deep learning concepts.
What resources can I use to practice my skills?
Utilize online tutorials, coding platforms like GitHub, and participate in competitions on sites like Kaggle to enhance your learning.
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