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PYTHON DATA SCIENCE - ML - AI - & Power BI

Luminar Technolab provides best DATA SCIENCE - ML - AI - & TABLEAU Training with 100% Job Placement assistance. Get trained from industry experts & start your IT career.
  • 7 Months
  • 🏆 100% Placement Opportunities Guaranteed
Admission Fee just ⭐ ₹1000 ⭐
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🏆 100% Placement Opportunities Guaranteed
  • Duration7 Months
  • Session Duration 1.5 - 2 Hours/day
  • Class Schedule Monday to Friday
  • ModeOffline/Online
  • Enrolled1800+
  • Languages & Tools12+
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What you'll learn

Machine learning is a data analysis method that is used to automate analytical model building. It is a subset of artificial intelligence (AI) and focuses on analyzing structures and patterns in data to allow reasoning, learning, and decision-making without human interactions. In simple terms, machine learning will let the user feed large volumes of data to a computer algorithm and make the device process the data to offer recommendations that are data-driven and decisions that are only based on the data offered.

  • Comprehensive Curriculum
  • Hands-on Learning
  • Job-Ready Skills
  • Interview Preparation
  • Interview Preparation
  • Networking Opportunities
  • Supportive Community
  • Lifetime Access
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Course Content

  • PyCharm, Language Fundamentals, Input-Output, Operators, Conditional Statements, Looping, Control Statements, Functios, Modules, String Manipulation, Lists, Tuple, Set, Dictionaries, File Operations, OOPS Concepts, Regular Expressions, Functional Programming, Map, Reduce, Filter, Iter tools, list comprehension

  • Introduction to SQL, Installation, SQL queries for data retrieval, filtering, CRUD and aggregation, Joins and subqueries in SQL for merging datasets. Exploratory data analysis in SQL database.

  • Introduction to python for data science (Numpy, Pandas), Data Visualization (Matplotlib, Seaborn), Exploratory Data Analysis ( Handling missing data, Exploratory Data Analysis using Pandas)

  • Regression (Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, Evaluation of regression models, L1 and L2 Regularization Techniques), Classification (K Nearest Neighbors (KNN), Naive Bayes Classifier, Decision Tree Algorithm, XGBoost, Random Forest Algorithm, Support Vector Machines (SVM) with L1 and L2 Regularization.

  • Introduction to Clustering Algorithms, K-Means Clustering, Hierarchical Clustering, Elbow Method for optimal K in K-Means.

  • Text processing basics, Sentiment analysis, Introduction to tokenization and stemming, Overview of pre-trained language models. Basics of deploying machine learning models , Capstone Project (Applying Python, SQL, and machine learning to a real-world problem).

  • Introduction to OpenCV and Hands-on Practice, OCR and Hands-on Practice, Neural Networks, ANN Implementation , CNN Implementation, YOLO Implementation, RNN and LSTM Implementation, Speech Recognition Hands-on Experience, Advanced Deep Learning and Chatbot, End-to-End ML Project

  • Introduction to Data Visualization, Introduction to Power BI, Power Query Editor – Data cleaning and transformation, Power Pivot - Data modeling ( Star Schema implementation and Snowflake concept), DAX – Data Analysis Expressions and Applications, Data Visualization and demo report and Publish, Project and presentation

  • Introduction to AWS, Amazon Identity and Access Management (IAM), Elastic Computing (EC2), Simple Storage Service (S3)

  • LLM, Stable Diffusion, Image Generation, Gemini, Landscape, Transfer Learning and Pre-trained Models.

Program Structure

  • Designed for freshers and early career professionals
  • 100+ Hours of Expert Video Content
  • Dedicated Program Support
  • Network with people of similar interests
  • Comprehensive curriculum and hands-on learning

Dedicated Career Support

  • 1:1 mock interviews with industry experts
  • Career mentorship with industry experts
  • Access to 150+ job postings every month
  • Personalised Resume & Linkedin Review
  • Break into in-demand Data Science roles with guaranteed job opportunities

EDUCATION FOR EVERYONE

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Instructors

Student Review

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Course Rating

Featured review

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Lin Ann Jose, Data Science Student

I recently completed my Data Science course at Luminar Technolab and had a great experience. The course was well-organized, with practical learning that helped me understand key concepts. A special thanks to Sabir Sir, along with all the other faculties, for their excellent teaching and support. They made learning enjoyable and were always available to help. I recommend Luminar Technolab for anyone looking to pursue a career in Data Science.

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CERTIFICATION BY NATIONAL COUNCIL FOR TECHNOLOGY & TRAINING

The Course is Certified by National Council for Technology & Training. NACTET certificates have high credibility among employers in India and abroad, especially in the Middle East and other parts of the world. All certificates issued by NACTET can be attested by the Ministry of External Affairs - Govt. of India and by the embassies of almost all countries.

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