Data Analytics
Decode Data’s Language with Our Live Training
Are you ready to take your career to the next level and become
an expert in the field of Advanced Analytics?
Join us on this transformative journey and gain the skills that will set you apart in the realm of data analytics. Elevate your career prospects and become a proficient data analyst!
Program Highlights
Our Data Analytics Live Training Program is designed to help beginners and professionals learn the fundamentals of Data through interactive online sessions led by experienced instructors. Our program is tailored to provide you with a comprehensive understanding of Real Time Analytics, covering everything from the basics to the advanced techniques.
- Live Training
- 24*7 Dedicated Support*
- Real World Case Studies
- Experienced Mentors
- Assessments
- Mock Interviews
- Personalized Mentorship and Support
- Career Advancement Options
- Network of AI Professionals
Course Curriculum
Our Data Analytics Training Program is taught by experienced instructors in the field of Advanced Analytics. They will guide you through a comprehensive tailored curriculum designed by the team, that covers everything from the basics of to the latest cutting edge advancements and with real time projects. You will learn how to use the latest tools and techniques in the field of Advanced Analytics to unveil the insights and the solve real-world problems.
Module 1 : Introduction
- Course Overview
- Understanding the basics of Data Analytics
- Overview of Data Types and Structures.
- Applications of Analytics and Related Fields
- Current Trends in Advanced Analytics
- Understanding Job Roles in the Field of Analytics
Module 2 : Python
- Introduction to Python
- Why Python
- Installation of Python
- Setting up Anaconda Distribution
- Identifiers, Variables
- Keywords, Comments
- Standard Inputs and Outputs
- Data types
- Operators
- Conditional Statements
- Loops
- Data Structures
- Functions
- Recursions
- Exceptional Handling
- Debugging
- Regular Expressions
- Multithreading
- . . .
Module 3 : Python for Analytics
- NumPy
- Pandas
- Seaborn
- Matplotlib
- Plotly
- . . .
Module 4 : Database Management and SQL
- Fundamentals of Database
- Data Retrieval
- Introduction to SQL
- SQL Queries and Data Manipulation
- Aggregations and Joins
- Working with NoSQL Databases
- …
- . . .
Module 5 : Foundational Math
- Role of Math in the filed of Analytics
- Basics of Linear Algebra
- Basics of Calculus
- Basics of Statistics
- Basics of Probability
- . . .
Module 6 : Probability & Statistics
- Introduction to Probability and Statistics
- Basics
- Understanding Data
- Statistical Metrics
- Percentiles
- Inter-Quartile Range
- Skewness, Kurtosis, SNV
- Random Variables
- Probability
- Conditional Probability
- Independent and Mutually Exclusive Events
- Bayes Theorem
- Distributions
- How Distributions are Used
- Distributions Based on Domain
- Understanding Covariance
- Pearson Correlation Coefficient
- Spearman Rank Coefficient
- Correlation
- Using Correlations
- Understanding Difference between Correlation and Covariance
- Confidence Interval
- Hypothesis Testing
- Standardization
- Normalization
- Kernel Density Estimation
- Sampling
- Central Limit Theorem
- . . .
Module 7 : Advanced Analytics Techniques
- Machine Learning Basics
- Regression and Classification Algorithms
- Predictive Modelling
- Clustering and Dimensionality Reduction.
- Time Series Analysis and Forecasting
- . . .
Module 8 : Data Ethics and Governance
- Understanding Data Privacy and Security
- Ethical considerations in Data Handling
- Regulatory compliances in Data Handling
- . . .
Mock Interviews
Real World Case Studies
Module 9 : Deployment and Other Technologies
- Understanding Deployment
- Intro to
- Tableau or PowerBI
- Excel
- PySpark
- Dashboard Designing
- . . .
Mock Interview Series and Career Guidance
Real World
Case Studies
One of the most exciting components of our AI Online Training Course is the case studies section. These case studies are carefully curated to showcase the diversity of AI applications and help you understand how AI is being used in different industries.
Medical Image Analysis
In this case study, you will learn how AI can be used to analyzing medical images and diagnosis. You will work with real medical images and learn how to train an AI model to identify in detecting tumors or lesions.
Text Classification
In this case study, you will learn how AI can be used to analyzing medical images and diagnosis. You will work with real medical images and learn how to train an AI model to identify in detecting tumors or lesions.
Computer Vision based Monitoring System
In this case study, you will learn how AI an ML can be used in Text based analytics and classification. You will work with real world datasets and learn how to analyze, clean, feature engineer and train an model on to classify the data.
These case studies are just a few examples of the diverse applications of AI that you will explore during our course. By the end of the training, you will have a comprehensive understanding of AI algorithms, tools, and techniques, and will be able to apply them to solve real-world problems.
What you will Learn
Take the First Step Towards a Promising Career in AI and ML
Join Us Today for Our Live Training Program
Enrolling in our AI Live Training Program will not only give you the skills and knowledge needed to apply AI and ML techniques to real-world problems but will also help you stay ahead of the curve in this fast-evolving field.
Join us today for our AI Live Training Program and take the first step towards a promising career in AI and ML!
For Downloading the Detailed Course Curriculum
Tech Stack
At Arduos, we use a variety of technologies and tools to help our students learn the latest and cutting edge techniques in the field of Artificial Intelligence.
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Frequently Asked Questions
What is the AI Master Course about?
The AI Live training course is a comprehensive training program that covers the basics and advanced concepts of Artificial Intelligence and Machine Learning. The course includes live sessions, hands-on projects, and interactive discussions to provide a comprehensive learning experience.
Who should attend the AI Master Course ?
The AI Live training Course is suitable for professionals, students, and anyone who wants to learn about AI and ML. It is ideal for individuals who want to start a career in AI or want to enhance their knowledge in this field.
What is the duration of the AI Live training Course?
The duration of the AI Live training Course is ideally 12 Months. Some batches may spill over for a few days or a few weeks.
What is the format of the AI Live training Course?
The training is conducted online, through live sessions, interactive discussions, and hands-on projects. Participants can attend the sessions from their own location and interact with the instructor.
Is prior experience in AI or ML required to attend the AI Master Course?
Prior experience in AI or ML is not a mandate, but would be an advantage if you have idea on that. Participants should have basic knowledge of mathematics, programming, and statistics.
Will I receive a certificate upon completion of the AI Master Course?
Yes, upon successful completion of the Course, participants will receive a certificate of completion.
Can I ask questions during the AI Master Course?
Yes, participants are encouraged to ask questions during the live sessions and interactive discussions. The instructor will be available to answer your questions and provide additional guidance.