Data Science and Analytics Essentials: Python, SQL, ML, and Statistical Techniques
6 modules
English & Hindi
Lifetime access
<p>"Master the Data Science Toolbox: Harness the Power of Python, SQL, Machine Learning, and Statistical Techniques to Drive Insights and Success"</p>
Overview
Description:
Data Science and Analytics Essentials: Python, SQL, ML, and Statistical Techniques course provides a comprehensive introduction to the key concepts and techniques used in data science and analytics. This course is designed to equip learners with the fundamental knowledge and skills required to perform data analysis, build predictive models, and gain insights from large datasets using Python, SQL, machine learning, and statistical techniques.
Key Highlights:
- ${course highlight 1}
- ${course highlight 2}
- ...
- ${course highlight n}
What you will learn:
- ${title 1}
${description 1} - ${title 2}
${description 2} - ...
- ${title n}
${description n}
Modules
Introduction to Data Science and Analytics
6 attachments
Overview of data science and analytics
Coming Soon
Importance and applications of data science
Coming Soon
Data science lifecycle
Coming Soon
Roles and responsibilities in data science
Coming Soon
Introduction to Python, SQL, and statistical techniques
Coming Soon
Basics of Statistical Techniques for Data Analytics
Python Basics for Data Science
6 attachments
Introduction to Python programming language
Coming Soon
Variables, data types, and basic operations
Coming Soon
Control flow statements (if, for, while)
Coming Soon
Data structures (lists, tuples, dictionaries)
Coming Soon
File handling and data input/output
Coming Soon
Introduction to NumPy and pandas libraries
Coming Soon
SQL Fundamentals for Data Analytics
6 attachments
Introduction to SQL and relational databases
Coming Soon
Basic SQL queries (SELECT, FROM, WHERE, ORDER BY)
Coming Soon
Joins, subqueries, and advanced SQL techniques
Coming Soon
Data manipulation using SQL (INSERT, UPDATE, DELETE)
Coming Soon
Data definition using SQL (CREATE, ALTER, DROP)
Coming Soon
Database management systems and data modeling
Coming Soon
Statistical Techniques for Data Analysis
6 attachments
Introduction to statistics and data analysis
Coming Soon
Descriptive statistics (mean, median, mode, variance)
Coming Soon
Probability distributions (normal, binomial, etc.)
Coming Soon
Hypothesis testing and statistical inference
Coming Soon
Regression analysis and correlation
Coming Soon
Data visualization techniques and tools
Coming Soon
Machine Learning Basics
6 attachments
Introduction to machine learning
Coming Soon
Supervised learning algorithms (classification, regression)
Coming Soon
Unsupervised learning algorithms (clustering, dimensionality reduction)
Coming Soon
Evaluation metrics for machine learning models
Coming Soon
Model selection and validation techniques
Coming Soon
Introduction to scikit-learn library
Coming Soon
Data Science Projects and Case Studies
6 attachments
Understanding the data science project lifecycle
Coming Soon
Defining project goals and problem formulation
Coming Soon
Data collection, preprocessing, and feature engineering
Coming Soon
Model building, evaluation, and interpretation
Coming Soon
Deploying and monitoring data science projects
Coming Soon
Real-world case studies and applications
Coming Soon
FAQs
How can I enrol in a course?
Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.
Can I access the course materials on any device?
Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.
How can I access the course materials?
Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
Rate this Course
₹ 29999.00
₹60000
Order ID:
This course is in your library
What are you waiting for? It’s time to start learning!
Wait up!
We see you’re already enrolled in this course till Lifetime. Do you still wish to enroll again?
