Python + Statistics for Data Analytics (Low Coding)
Practical Python power without heavy ML.
What's Included
- Live interactive sessions with industry experts
- Hands-on projects for your portfolio
- Flexible weekday and weekend batches
- Lifetime access and career guidance
Available Batches
₹10,000
Limited time offer - Save 33%
This course includes:
Course Highlights
See what makes this course special
Live Sessions
Interactive classes with Q&A
Real Projects
Build portfolio-worthy work
Job Support
Career guidance & placement
Certificate
Industry-recognized credential
What You'll Learn
Master these essential skills by the end of this course
Course Outcome
Practical Python power without heavy ML.
Capstone Project
Complete data analysis project with Python.
Requirements
- Basic computer knowledge
- A laptop or computer with internet connection
- Willingness to learn and practice
Why Choose SRS TECH FLY
Expert Instructors
Learn from industry veterans
Job-Ready Skills
Practical, industry-relevant training
Career Support
Placement assistance included
Live Interactive Classes
Real-time learning with expert guidance
Lifetime Access
All course materials and recordings
Who This Course Is For
Beginners, students, career switchers
- Complete beginners
- Career switchers
- Working professionals
- Students and graduates
Your Instructor

Mr. Shishir Dhangar
Microsoft Certified Trainer (MCT)
Expert Data Analytics trainer with Microsoft, Google & Databricks certifications. Specializing in Excel, SQL, Power BI, Statistics, and Tableau with years of industry experience.
Trusted by the Love of Students
Our Bright Minds Now Working at Top Companies
Our students are now working at
Course Curriculum
Comprehensive syllabus designed to take you from beginner to job-ready
Course Syllabus & Structure
Learn Python fundamentals: variables, data types, operators, strings, lists, dictionaries, conditional statements, loops, and functions.
Understand classes, objects, methods, inheritance, polymorphism, and write modular, reusable code.
Work with NumPy arrays, perform vectorized operations, array indexing, slicing, and mathematical computations.
Master DataFrames, data cleaning, handling missing values, GroupBy operations, merging datasets, and data manipulation.
Create insightful visualizations using Matplotlib and Seaborn. Build plots, charts, and customize visualizations for presentations.
6-10 week comprehensive program with hands-on projects. Complete an end-to-end data analysis project including data cleaning, exploratory analysis, and professional visualizations. Beginner-friendly with no coding experience required.
Ready to Start Learning?
Join hundreds of students who have transformed their careers. Enroll today and get instant access to all course materials.
Data Analytics Resources
Course Information
Contact & Support
- Phone: +91-9971090053
- Email: support@srstechfly.com
- Website: www.srstechfly.com
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