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Advance Data Science
+ AI Course
#Own your future with advanced
data science with AI Course
Forge Your Path to Success with Shef Solutions LLC. Explore Top Online Courses Designed for All Learners.
Book A Demo Class
Meet Our Expert Data Science Course Trainers
Bringing over 15+ years of hands-on experience in the realm of programming and software development.
- 250+ Hiring Partners-
- 100% Job Assistance
- 85% Average Hike
- Get Certified on Completion
Overview
At Shef Solutions LLC., we understand the power of data. In today’s rapidly evolving world, data-driven decisions are the key to success. That’s why we are excited to introduce our Executive Post Graduation Certification in Data Science and AI – your gateway to a dynamic career in the world of data analytics and artificial intelligence.
Week 1-2
Introduction to Data Science and Python Programming
- Introduction to Data Science
- Overview of Python Programming Language
- Data Types, Variables, and Operators in Python
- Control Structures (Loops, Conditionals) in Python
- Functions and Modules in Python
- Introduction to NumPy and Pandas Libraries for Data Manipulation
- Hands-on Lab: Basic data analysis and manipulation using Python
and NumPy/Pandas
Week 3-4
Data Visualization and Exploratory Data Analysis (EDA)
- Data Visualization Principles and Best Practices
- Introduction to Matplotlib and Seaborn Libraries
- Exploratory Data Analysis (EDA) Techniques
- Statistical Analysis and Summary Statistics
- Data Cleaning and Preprocessing
- Hands-on Lab: Exploring datasets through data visualization and
EDA
Week 5-6
Machine Learning Fundamentals
- Introduction to Machine Learning
- Supervised Learning: Regression and Classification
- Clustering and Dimensionality Reduction
- Model Evaluation and Validation Techniques
- Overfitting, Underfitting, and Bias-Variance Tradeoffs
- Implementing machine learning algorithms for predictive modelling tasks
Week 7-8
Advanced Machine Learning Techniques
- Ensemble Learning: Bagging, Boosting, and Stacking
- Feature Engineering and Feature Selection
- Hyperparameter Tuning and Optimization
- Introduction to Neural Networks and Deep Learning
- Introduction to TensorFlow and Keras Libraries
- Hands-on Lab: Building and training neural networks for classification tasks
Week 9-10
Natural Language Processing (NLP) and Text Mining
- Introduction to Natural Language Processing (NLP)
- Text Preprocessing Techniques
- Sentiment Analysis and Opinion Mining
- Text Classification and Topic Modeling
- Named Entity Recognition (NER) and Text Summarization
- Hands-on Lab: Analyzing and processing text data using NLP techniques.
Week 11-12
Data Engineering and Big Data Technologies
- Introduction to Data Engineering
- Data Collection and Acquisition Techniques
- Data Transformation and Cleaning Pipelines
- Introduction to Big Data Technologies (Hadoop, Spark)
- Processing and Analyzing Big Data with Spark
- Implementing data engineering pipelines and processing big data with Spark
Projects And More
Classes, Practical, Projectes, Certificate & more
- Online/offline Classes
- Live Practicals
- 50+ Industry Projects & Case Studies Designed for Working Professionals and Freshers.
- One-on-one with Industry Mentors
- Up to Rs. 50 Lakhs startup Incubation
- Support Guaranteed Job Interviews upon movement
- Shef Solutions Inc. in House Placement Department
How can I practice?
Students can benefit from our State of the art lab infrastructure facilities at all our training centers across the city. Our lab facilities are available through the day on all working days. For our online students, they can connect to our servers and other lab facilities over the internet and practice. These facilities are available 24X7
What if I miss one (or) more class?
If the student misses out of attending any session, he or she can re-attend the session by:
1. Attending the same session in another batch if student is attending classroom based session.
2. For online sessions, recording of the classes can be accessed by the student at all time to help revisit and listen the sessions missed out
What are the modes of training offered for this course?
All training programs conducted by Kalyan IT Hub are available in 3 modes, instructor based classroom programs, instructor based live online training and self-paced video based training. Students can choose
What prerequisites are required for the Data Science +AI course?
Basic knowledge of the Linux operating system, networking concepts, and proficiency in at least one scripting language (preferably Python) are recommended.
Are there real-world projects included in the course?
Yes, participants engage in practical projects that simulate real-world scenarios. This hands-on experience allows you to apply Data Science principles in actual work environments.
Is certification included in the course?
The course prepares you for relevant Data Science certifications, and exam guidance is provided With certification
- Data scientist
- Data analyst
- Data architect
- Data engineer
Job OpportunitiesAfter
After
Data Science
Coaching
- Machine learning engineer
- Business analyst
- Statistician
- Data and Analytics Manager
