Trainer

NA yrs exp

Duration

90 Days

Recordings

120 Hrs

Material

Reading and LAB guide

Online LAB

Server 24x7 available

Course Overview

Who should go for this training?
The following professionals can go for this course:

What are the pre-requisites for this Course?

Course Overview

Course Content

Expand All
  •   What is Data Science?
  •   Roles and Responsibilities in Data Science
  •   Typical Data Science Workflow and Lifecycle
  •   Roles: Data Analyst, Data Engineer, Data Scientist, ML Engineer
  •   Career Opportunities and Industry Trends
  •   Jupyter & Google Colab Notebooks
  •   Setting Up the Environment
  •   Best Practices for Data Science Projects
  •   Core Fundamentals and Syntax
  •   Operators and Flow Control
  •   String Data Type & Manipulations
  •   Data Structures: Lists, Tuples, Sets, Dictionaries
  •   Functions, Modules, and Packages
  •   Object-Oriented Programming (Parts 1–4)
  •   Exception & File Handling
  •   Multithreading and Database Programming
  •   Regular Expressions and Web Scraping
  •   Decorator & Generator Functions
  •   Assertions and Logging
  •   Understanding Data Patterns and Insights
  •   Data Cleaning, Transformation, and Summarization
  •   Introduction & Setup
  •   Line, Bar, Pie, Histogram, and Scatter Plots
  •   Grid Lines, Legends, Axis Customization
  •   Advanced Visualizations: Subplots, 3D, Geographic Data, Animations
  •   Interactive Plots & Figure Customization
  •   Array Creation & Fundamentals
  •   Operations, Indexing & Data Manipulation
  •   Advanced Computations and Applications
  •   DataFrames: Structure and Operations
  •   Data Selection, Indexing, and Transformation
  •   Merging, Grouping, and Aggregation
  •   Distance Metrics: Euclidean, Manhattan, Cosine
  •   Descriptive Statistics & Data Distributions
  •   Probability and Random Variables
  •   Sampling & Hypothesis Testing
  •   Regression Basics and ML Statistical Methods
  •   Frequency & Contingency Tables
  •   Graphical Methods: Bar, Pie, Line, Histogram, Ogive
  •   Measures: Mean, Median, Mode, IQR, Variance, SD
  •   Box Plots and Outlier Detection
  •   Venn Diagrams and Weighted Summaries
  •   Normal Distribution, z-Scores, Chebyshev’s Theorem
  •   Covariance, Correlation (Pearson), Scatterplots
  •   Residuals, R², RMSE
  •   Core Terminology and Rules
  •   Conditional Probability and Bayes’ Theorem
  •   Real-World Use Cases
  •   PMF, CDF Concepts
  •   Discrete Distributions: Bernoulli, Binomial, Poisson
  •   Continuous Distributions and Applications
  •   Experimental vs Observational Studies
  •   Sampling Methods and Bias Handling
  •   Sampling of Means and Proportions
  •   t-Distribution and Confidence Intervals
  •   Null & Alternative Hypotheses
  •   One/Two-Tailed Tests, Significance, Errors, Power
  •   p-Values, Decision Rules
  •   t-Test, ANOVA, Chi-Square, Proportion Tests
  •   Overview and Applications of ML
  •   ML Types: Supervised, Unsupervised, Reinforcement
  •   End-to-End ML Workflow
  •   Data Preprocessing: Handling Missing Values, Encoding, Scaling
  •   Simple & Multiple Linear Regression
  •   Polynomial Regression
  •   Support Vector Regression (SVR)
  •   Logistic Regression
  •   K-Nearest Neighbors (KNN)
  •   Support Vector Machines (SVM)
  •   Naive Bayes
  •   Decision Trees & Random Forests
  •   K-Means and Hierarchical Clustering
  •   Model Evaluation and Validation
  •   Cross-Validation, Grid Search
  •   XGBoost and Ensemble Methods
  •   Agents, Environment, Rewards, and Actions
  •   Exploration vs Exploitation
  •   UCB and Thompson Sampling
  •   Text Preprocessing, Tokenization
  •   Bag of Words & TF-IDF Models
  •   Sentiment Analysis
  •   Introduction to Neural Networks
  •   Activation Functions and Architectures
  •   Basic CNN for Image Classification
  •   Text Data Sources and Applications
  •   Web Scraping for Text
  •   Tokenization, Stop Words, Stemming, Lemmatization
  •   Bag of Words (BoW), One-Hot Encoding, TF–IDF
  •   Building a Text Classification Pipeline
  •  When and Why to Use Deep Learning
  •   Epochs, Layers, Activation, and Cost Functions
  •   Building Dense Neural Networks
  •   CNN (Convolutional Neural Networks)
  •   RNN (Recurrent Neural Networks)
  • Understanding Prompts and Context
  •  Role, Chain-of-Thought, and Contextual Prompts
  •  Few-shot, Zero-shot, and Multi-turn Prompting
  •   How Large Language Models Work
  •   Strengths, Limitations, and Use Cases
  •  Prompt Libraries, API Integrations, and Automation Tools
  •   End-to-End Project Implementation
  •   Model Packaging and Containerization
  •   Deployment Options (Streamlit, Flask, GCP, AWS)
  •   Monitoring and Maintenance
  •   Project 1: Agentic Workflow using Crew AI
  •   Project 2: Agentic Workflow using n8n
  •   Project 3: Agentic Workflow in GCP Environment
  •   Project 4: Custom Agentic Workflow (Capstone Project)
Brochure Download

Modes of Training

Akswave_classroom

Classroom Training

Lives interactive sessions delivered in our classroom by our expert trainers with real-time scenarios.

Akswave_Online

Online Training

Learn from anywhere over internet, joining the live sessions delivered by our expert trainers.

Akswave_Selfpaced

Self-Pace Training

Learn through pre-recorded video sessions delivered by experts with your own pace and timings

For Coporate Training, We provide customized content and delivered by industry experts with complete practical demonstration, discussions and exercises based on practical use cases.

Contact Us

Our Key Highlights

Unique Benefits included in this training

  • BEST TRAINER : Having NA yrs exp and delivered more than 80 batches
  • QUALITY CONTENT : Covers in-depth and industry-relevant advance topics.
  • LAB ACCESS : Practice hands-on with dedicated online servers, anytime, anywhere.
  • BEST PRICE : Best value training at a competitive price.
  • SESSION RECORDINGS : Access to session recordings for easy revision.
  • REAL-TIME SCENARIOS : Learn through practical scenarios and live projects.
Key Benefits

Upcoming Batches

CLASSROOM TRAINING

This Course Includes:
  • Delivered by our experts having 20+ yrs exp
  • 13 Live classroom sessions
  • Reading material and Lab activity guide
  • One-to-one dedicated server access 
  • 30 Hrs of Lab practices
  • 100% practical-oriented classes
  • Real-time projects and certification guidance
  • Get certificate on course completion
  • Job assistance
  • Certified technical assistance
30-Oct

8:30am to 10:00am IST

60 Days (Mon-Fri)

04-Nov

8:30am to 10:00am IST

60 Days (Mon-Fri)

07-Nov

8:30am to 10:00am IST

60 Days (Mon-Fri)

Course Fee : ₹ 35,000/-

Discount : ₹ 13,000/- (37%)

Offer Price : ₹22,000/-

ONLINE TRAINING

This Course Includes:
  • Delivered by our experts having 20+ yrs exp
  • 13 Virtual online sessions
  • Access for 20 Hrs of Recorded videos
  • Reading material and Lab activity guide
  • 24x7 dedicated online AksWave server access
  • 30 Hrs of Lab practices
  • 100% practical-oriented classes
  • Real-time projects and certification guidance
  • Get certificate on course completion
  • Job assistance
  • Technical support thru chat and email
29-Oct

7:00pm to 8:30am IST

60 Days (Mon-Fri)

04-Nov

7:00pm to 8:30am IST

60 Days (Mon-Fri)

07-Nov

7:00pm to 8:30am IST

60 Days (Mon-Fri)

Course Fee : ₹ 40,000/-

Discount : ₹ 15,000/- (38%)

Offer Price : ₹25,000/- $285

SELF-PACED LEARNING

This Course Includes:
  • Access for 20 Hrs of Recorded videos
  • Reading material and Lab activity guide
  • 24x7 dedicate online AksWave server access
  • 30 Hrs of Lab practices
  • Real-time projects and certification guidance
  • Technical support thru chat and email

₹18,000/-

Our Instructor

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Demo Video

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Certification Guidence

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Faq

Each of our live sessions are recorded. In case if you miss any, you can request us to share the link of that particular session.

Once you get registered, our back-end team will share you the details to join the session live over online portal which can be accessed through a browser.

For practical execution, our trainer/technical team will provide server access details to the student.

Yes. We do provide the step-by-step document which you can follow and if required our technical team will assist you.

Live-Online training is where you can have live session with the trainer and clarify queries parallely.

Pre-recorded sessions are the recorded videos that will be provided to you that you can see, listen and learn anytime at ur feasible place. For doubts in the videos you can mail the trainer regarding the same.

You can contact our support team, or just drop an email to online@akswave-trainings.com with your queries.

The course material and recorded videos which are provided during the course period. You can download it anytime.

Visit our website regularly to check discount offers time to time. However, we provide discount for single participant & special discount for 2 or more participants.

* If request for cancellation is made within 2 days of enrolment for class, 100% refunded.

* If request made after 2 days, then Refund is made after deduction of administration fee.

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