ArivuPro Skills
+916364925600
skills@arivupro.com
Menu
Home
Courses
Analytics Courses
Data Science
Data Analytics
Business Analytics
AI & ML
Tech Courses
Cyber Security
Advanced Excel with AI Integration
Microsoft Power Point
Microsoft Word
Marketing Courses
Digital Marketing
SEO
SEM
Adobe Premiere Pro Professional Certificate
Young Employability Scholar Program
Finance Courses
Financial Modelling
SAP FICO
Taxation Mastery Course
ZOHO Books
Finance Essentials for Non- Finance
Tally Prime
About Us
Offline
Blogs
Contact Us
Career
Admission
Finance Essentials for Non- Finance
Curriculum
6 Sections
32 Lessons
100 Hours
Expand all sections
Collapse all sections
Python Programming
5
1.1
Module 1: Introduction To Python Programming and Basic
1.2
Module 2: Data Structure and Control Flow
1.3
Module 3: Functions and Advanced Python
1.4
Module 4: Object Oriented Programming
1.5
Mini Project – Building A Virtual Assistant.
Data Visualization and Statistics for Data Science
6
2.1
Module 1 : Data Analysis and Visualization Using Python
2.2
Module 2 : Data and Descriptive Statistics
2.3
Module 3 : Probability Basics and Distributions
2.4
Module 4 : Understanding Normal Distribution
2.5
Module 5 : Hypothesis Testing and Statistical Inference
2.6
Mini Project : Applied Statistics With Mini Project
Machine Learning
6
3.1
Module 1 : Introduction to ML and Data Processing
3.2
Module 2: Regression Techniques in ML
3.3
Module 3 : Classification Algorithms in ML
3.4
Module 4 : Unsupervised Learning
3.5
Module 5 : Recommender Systems
3.6
Mini Project – Employee Attrition Prediction
AI Fundamentals
5
4.1
Module 1: Introduction to Artificial Intelligence
4.2
Module 2: Fundamentals of Machine Learning
4.3
Module 3: Deep Learning and Neural Networks
4.4
Module 4: Natural Language Processing (NLP) and Computer Vision
4.5
Module 5: AI Ethics, Careers & Capstone Project
Generative AI in Business Intelligence
5
5.1
Module 1: Introduction to Generative AI in Business Intelligence
5.2
Module 2: Prompt Engineering for Business Scenarios
5.3
Module 3: Integrating Generative AI with BI Tools
5.4
Module 4: Case Studies and Hands-on Labs
5.5
Module 5: Capstone Project and Future Outlook
Generative AI using IBM Watson
5
6.1
Module 1: Introduction to Generative AI and IBM Watson
6.2
Module 2: Working with IBM Watson Assistant
6.3
Module 3: Watson Discovery and Natural Language Processing
6.4
Module 4: Building with Watsonx.ai and Foundation Models
6.5
Module 5: Capstone Project and Deployment
This content is protected, please
login
and
enroll
in the course to view this content!
Fill this form and get email id, phone no of the company
Get Your Job Details Now
First Name
Last Name
Email
Phone
Submit Form
×
×
Modal title
Main Content
