Python for Data Science and AI
Become a DataAnalysis with python these valuable skills. then Start Your Course Today.
Why Join Python for Data Science and AI Training?
Job oriented
Python is the highest-paid language in the market right now. and if you are interested to learn data science with AI and python. then you can start a Seldom India training course for job Opportunities of Data Science & Analytics, Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Business Analyst.
Easy to learn
At this time the artificial intelligence trends in the whole world. The best python programming language training in Jaipur AND Data analysis is the methodology of gathering data and processing it, in order to get useful insights. AND These insights allow the companies to formulate better strategies and to make better decisions.
In high demand
Preparing for the future of Artificial intelligence, machine learning, and deep learning neural networks are the most used course in the technology world today. You will use Python as a programming language. Python is an incredible programming language for the development of projects that perform information analysis and predictions.
Python for Data Science and AI Training from Seldom India
Training Certification
By Seldom India Technologies
Beginner Friendly
Do not need any prior knowledge
Classroom Training
Learn form experts directly
Placement Assistance
To start your career
5 Assignments & 7 Projects
Complete hands-on training
Expert Faculties
Learn form the Industry Experts
What Python for Data Science and AI
placement assistance you will get?
Interview opportunities
We all know that Python is the highest-paid language in the market right now. We have designed the Python for Data Science and AI course programs that fulfill the requirements of the company. If you are interested to learn data science with AI and python then join our training.
Learn with live projects
Seldom India has a dedicated team of subject specialists and corporate professionals, and we having more than 7 years of experience in handling real-time best top 10 python training institutes in India.
World-class mentors
We provide the best Python course for Data Science and AI training institute in India practical and professional training on the latest hardware and software which fulfill the need of candidates or professionals.
We have trained employees in Top Companies like
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What is the training procedure ?
Join the training program
Attend classes regularly
Learn via hands-on in classroom
Complete assignments
Submit the project
Batch Options
Live Online
Join Instructor-led live online training.
Batch timing: 08:00 AM to 08:00 PM
Regular Classroom
Regular Classroom training.
Batch timing : 08:00 AM to 08:00 PM (mon – sat)
Fast-track Classroom
Fast-track full day training program in
Batch timing : 10:00 AM to 06:00 PM
Become a DataAnalysis with python these valuable skills. Start Your Course Today.
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Training Curriculum
PYTHON BASICS
PYTHON BASICS Lecture 1.1 Installation & Environment Setup CopyLecture 1.2 Interactive Shell & User interface or IDE CopyLecture 1.3 Variables & Data Types CopyLecture 1.4 Operators in Python CopyLecture 1.5 List CopyLecture 1.6 Tuple CopyLecture 1.7 Dictionaries CopyLecture 1.8 Numbers CopyLecture 1.9 Sets CopyLecture 1.10 Conditional Statements CopyLecture 1.11 Loops & User Input CopyLecture 1.12 Functions CopyLecture 1.13 File Handling CopyLecture 1.14 Exception Handling CopyLecture 1.15 Advance Oops Concepts & Application CopyLecture 1.16 Database Handling in Python CopyLecture 1.17 Multi threading Copy
DATA SCIENCE WITH PYTHON BASICS
Lecture 2.1 What is Data Science & Why Data Scientists are in demand CopyLecture 2.2 What is a Data Product CopyLecture 2.3 Large Scale Analysis Cost vs Storage. CopyLecture 2.4 Data Science Skills CopyLecture 2.5 Data Science Use Cases CopyLecture 2.6 Data Acquisition Copy
STATISTICS
Lecture 3.1 Descriptive Statistics CopyLecture 3.2 Central Tendency Measures CopyLecture 3.3 The Story of Average CopyLecture 3.4 Dispersion Measures & Data Distributions CopyLecture 3.5 Hypothesis Testing in Data Science CopyLecture 3.6 Sampling CopyLecture 3.7 ANOVA CopyLecture 3.8 Probability Copy
ALGORITHMS & ANALYSIS
Lecture 4.1 Numy CopyLecture 4.2 Panda CopyLecture 4.3 Data Visualization CopyLecture 4.4 Exploratory data analysis – Seaborn, Univariate, Bi Variate & Multivariate Analysis. CopyLecture 4.5 Linear Regression CopyLecture 4.6 Optimization Algorithm CopyLecture 4.7 Logistic Regression CopyLecture 4.8 Performance Measurement CopyLecture 4.9 KNN CopyLecture 4.10 Naive Bayes Algorithm CopyLecture 4.11 Decision Tree Classifier CopyLecture 4.12 Random Forest Classifier CopyLecture 4.13 Support Vector Machines CopyLecture 4.14 Time Series Analysis CopyLecture 4.15 Problem Statement and Analysis CopyLecture 4.16 Principal Component Analysis Copy
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Experienced faculties
Projects you will make in this training program
Internet of Things
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Cybersecurity
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Brand & Retail
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Testimonials
Frequently Asked Questions
1. What will I get if I subscribe to this Certificate?
At the point when you join up with the course, you gain admittance to the entirety of the courses in the Certificate, and you acquire a declaration when you complete the work. Your electronic Certificate will be added to your Accomplishments page – from that point, you can print your Certificate or add it to your LinkedIn profile. On the off chance that you just need to peruse and see the course content, you can review the course free of charge.
2. What is the refund policy?
When you subscribed, then you get a 7-day free trial duration which you can cancel at no penalty. After that, we don’t give any type of refunds, but you can cancel your subscription at any time.
3. When will I have access to the lectures and assignments?
Admittance to talks and tasks relies upon your sort of enlistment. On the off chance that you enroll in a class to study review mode, you will have the option to see most course materials free of charge. To get to reviewed tasks and to acquire a Certificate, you should buy the Certificate insight, during or after your review. On the off chance that you don’t see the review alternative:
1 .The course may not offer a review alternative. You can attempt a Free Trial all things considered, or apply for Financial Aid.
2. The course may offer ‘Full Course, No Certificate’ all things considered. This alternative allows you to see all course materials, submit required evaluations, and get a last grade. This additionally implies that you won’t have the option to buy a Certificate insight.
4. What will I learn in this course?
PYTHON BASICS
Lecture 1.1 Installation & Environment Setup Copy
Lecture 1.2 Interactive Shell & User interface or IDE Copy
Lecture 1.3 Variables & Data Types Copy
Lecture 1.4 Operators in Python Copy
Lecture 1.5 List Copy
Lecture 1.6 Tuple Copy
Lecture 1.7 Dictionaries Copy
Lecture 1.8 Numbers Copy
Lecture 1.9 Sets Copy
Lecture 1.10 Conditional Statements Copy
Lecture 1.11 Loops & User Input Copy
Lecture 1.12 Functions Copy
Lecture 1.13 File Handling Copy
Lecture 1.14 Exception Handling Copy
Lecture 1.15 Advance Oops Concepts & Application Copy
Lecture 1.16 Database Handling in Python Copy
Lecture 1.17 Multi threading Copy
DATA SCIENCE WITH PYTHON BASICS
Lecture 2.1 What is Data Science & Why Data Scientists are in demand Copy
Lecture 2.2 What is a Data Product Copy
Lecture 2.3 Large Scale Analysis Cost vs Storage. Copy
Lecture 2.4 Data Science Skills Copy
Lecture 2.5 Data Science Use Cases Copy
Lecture 2.6 Data Acquisition Copy
STATISTICS
Lecture 3.1 Descriptive Statistics Copy
Lecture 3.2 Central Tendency Measures Copy
Lecture 3.3 The Story of Average Copy
Lecture 3.4 Dispersion Measures & Data Distributions Copy
Lecture 3.5 Hypothesis Testing in Data Science Copy
Lecture 3.6 Sampling Copy
Lecture 3.7 ANOVA Copy
Lecture 3.8 Probability Copy
ALGORITHMS & ANALYSIS
Lecture 4.1 Numy Copy
Lecture 4.2 Panda Copy
Lecture 4.3 Data Visualization Copy
Lecture 4.4 Exploratory data analysis – Seaborn, Univariate, Bi Variate & Multivariate Analysis. Copy
Lecture 4.5 Linear Regression Copy
Lecture 4.6 Optimization Algorithm Copy
Lecture 4.7 Logistic Regression Copy
Lecture 4.8 Performance Measurement Copy
Lecture 4.9 KNN Copy
Lecture 4.10 Naive Bayes Algorithm Copy
Lecture 4.11 Decision Tree Classifier Copy
Lecture 4.12 Random Forest Classifier Copy
Lecture 4.13 Support Vector Machines Copy
Lecture 4.14 Time Series Analysis Copy
Lecture 4.15 Problem Statement and Analysis Copy
Lecture 4.16 Principal Component Analysis Copy
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