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Python for Analytics
Industry-Taught. 
Career-Ready.

Learn from Top Industry Experts and unlock your full potential?

Click the link below !

₹ 15,000|  ₹ 20,000 Affordable. Practical. Powerful.

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Learn
Python for Analytics
Industry-Taught. 
Career-Ready.

Learn from Top Industry Experts and unlock your full potential?

Click the link below !

₹ 15,000|  ₹ 20,000 Affordable. Practical. Powerful.

Enroll Now
About this Training Program?

The Python for Analytics training program is designed to equip learners with the programming and analytical skills needed to work with data effectively using Python. This course blends the fundamentals of Python programming with practical data analysis techniques to help learners clean, manipulate, visualize, and derive insights from data.

Whether you're new to programming or transitioning into data roles, this hands-on course focuses on real-world datasets and common analytics tasks. You'll develop a solid foundation in Python while learning how to use it for data-driven decision making in business, finance, marketing, and beyond. 

Course Objective
The primary objective of this course is to:
  • Teach Python basics with a focus on data analysis workflows.
  • Enable learners to work confidently with data structures, control flow, and functions in Python.
  • Introduce data handling, cleaning, and transformation using built-in Python tools.
  • Equip learners to perform exploratory data analysis and present insights clearly.
  • Prepare participants for roles in analytics, reporting, or data-informed business strategy.
Why Is Python So Popular and Beneficial to Learn for Analytics?
Python has become the go-to language in analytics due to its simplicity, flexibility, and power. It is:
  • Easy to Learn: With its clean and readable syntax, Python lowers the barrier to entry for beginners in programming and analytics.
  • Widely Used in Data Roles: Python is a core skill in data analytics, data science, business intelligence, and machine learning.
  • Rich in Libraries: Python offers a robust ecosystem of tools tailored for data work, such as pandas, matplotlib, and csv.
  • Highly Versatile: It can handle everything from data cleaning and visualization to automation and reporting.
  • Industry Demand: Python is consistently ranked among the most in-demand skills in the data job market.

Python Analytics Course Features

👤
Live and Focused One-On-One Training Sessions.
🎓
Beginner-Friendly with No Prior Experience Required.
📊
Hands-on Projects Using Real-World Application Scenarios.
💼
Designed for Career Transition & Job Readiness.
Why Us

Why Choose Us?

Live & One-On-One Guidance

Get tailored instruction through focused one-on-one sessions, ensuring you receive personalized support every step of the way.

No Experience? No Problem!

Our curriculum is built with beginners in mind — no prior coding or analytics experience is required to start your journey.

Hands-On, Practical Training

Work on real-world use cases and scenarios that mirror actual industry challenges, preparing you with job-ready skills.

Job Readiness & Career Transition

This course is crafted to help you transition smoothly into analytics roles, with a strong emphasis on employability and practical outcomes.

Course Curriculum

Module 1: Introduction to Python & Analytics
  • What is Analytics? Types of Analytics (Descriptive, Predictive, Prescriptive)
  • Role of Python in Analytics.
  • Installing Python, Jupyter Notebooks, and Anaconda.
  • Python IDEs: Jupyter, VS Code, Google Colab.
  • Writing your first Python script.
  • Understanding variables, data types, comments.
Module 2: Python Basics for Analysts
  • Arithmetic, Comparison, Logical Operators.
  • Control Structures: if-else, loops (for, while).
  • Functions and Lambda Expressions.
  • Working with built-in functions.
  • Exception Handling and Error Types.
Module 3: Data Structures for Analytics
  • Lists, Tuples, Sets, Dictionaries.
  • Indexing, Slicing, and Looping.
  • List/Dict Comprehensions.
  • Data transformation and cleaning using Python.
Module 4: Working with Data using Pandas
  • Introduction to Pandas and Series/DataFrames.
  • Reading Data from CSV, Excel, SQL.
  • Inspecting and Cleaning Data (isnull(), dropna(), fillna()).
  • Filtering, Sorting, and Subsetting Data.
  • GroupBy and Aggregations.
  • Merging and Joining Datasets.
  • Pivot Tables and Crosstabs.
Module 5: Data Manipulation with NumPy
  • Introduction to NumPy arrays.
  • Creating and reshaping arrays.
  • Mathematical operations on arrays.
  • Indexing, slicing, and broadcasting.
  • Using NumPy for statistical operations.
Module 6: Exploratory Data Analysis (EDA)
  • Understanding the importance of EDA.
  • Descriptive Statistics with Pandas.
  • Distribution Analysis.
  • Correlation and Covariance.
  • Handling Outliers and Missing Values.
  • Feature Engineering Basics.
Module 7: Data Visualization
  • Introduction to Matplotlib and Seaborn.
  • Line plots, bar charts, histograms, scatter plots.
  • Customizing plots (titles, labels, legends).
  • Data storytelling with visuals.
Module 8: Working with Real-World Datasets
  • Importing external datasets.
  • Cleaning and transforming messy data.
  • Hands-on Practice with Sample Business Datasets.
Module 10: Capstone Project
  • Details of the project will be shared during the course.
Bonuses
  • 1:1 Resume & LinkedIn Review Session.
  • Cheat Sheets & PDF Notes (Syntax, Functions, Data Structures).
  • Mock Interview with Feedback.
Deliverables
  • Weekly Live Doubt Clearing & Mentor Support.
  • Hands-on Coding Assignments with evaluation.
  • Quizzes & Assessments at the end of each module.
  • Progress Reports.

Course Curriculum

Module 1: Introduction to Python & Analytics
  • What is Analytics? Types of Analytics (Descriptive, Predictive, Prescriptive)
  • Role of Python in Analytics.
  • Installing Python, Jupyter Notebooks, and Anaconda.
  • Python IDEs: Jupyter, VS Code, Google Colab.
  • Writing your first Python script.
  • Understanding variables, data types, comments.
Module 2: Python Basics for Analysts
  • Arithmetic, Comparison, Logical Operators.
  • Control Structures: if-else, loops (for, while).
  • Functions and Lambda Expressions.
  • Working with built-in functions.
  • Exception Handling and Error Types.
Module 3: Data Structures for Analytics
  • Lists, Tuples, Sets, Dictionaries.
  • Indexing, Slicing, and Looping.
  • List/Dict Comprehensions.
  • Data transformation and cleaning using Python.
Module 4: Working with Data using Pandas
  • Introduction to Pandas and Series/DataFrames.
  • Reading Data from CSV, Excel, SQL.
  • Inspecting and Cleaning Data (isnull(), dropna(), fillna()).
  • Filtering, Sorting, and Subsetting Data.
  • GroupBy and Aggregations.
  • Merging and Joining Datasets.
  • Pivot Tables and Crosstabs.
Module 5: Data Manipulation with NumPy
  • Introduction to NumPy arrays.
  • Creating and reshaping arrays.
  • Mathematical operations on arrays.
  • Indexing, slicing, and broadcasting.
  • Using NumPy for statistical operations.
Module 6: Exploratory Data Analysis (EDA)
  • Understanding the importance of EDA.
  • Descriptive Statistics with Pandas.
  • Distribution Analysis.
  • Correlation and Covariance.
  • Handling Outliers and Missing Values.
  • Feature Engineering Basics.
Module 7: Data Visualization
  • Introduction to Matplotlib and Seaborn.
  • Line plots, bar charts, histograms, scatter plots.
  • Customizing plots (titles, labels, legends).
  • Data storytelling with visuals.
Module 8: Working with Real-World Datasets
  • Importing external datasets.
  • Cleaning and transforming messy data.
  • Hands-on Practice with Sample Business Datasets.
Module 10: Capstone Project.
  • Details of the project will be shared during the course.
Bonuses
  • 1:1 Resume & LinkedIn Review Session.
  • Cheat Sheets & PDF Notes (Syntax, Functions, Data Structures).
  • Mock Interview with Feedback.
Deliverables
  • Weekly Live Doubt Clearing & Mentor Support.
  • Hands-on Coding Assignments with evaluation.
  • Quizzes & Assessments at the end of each module.
  • Progress Reports.
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Level-Up Lab

At NextGen Coders, we don’t just help you upskill — we’re here to support you even after the course ends.


*These are paid services post 1 week of course completion.
Interview Prep
Resume Building
LinkedIn Optimization
Career Support Services
Interview Prep
Interview Practice

Recorded practice with AI feedback on speech, tone, and filler words.

Simulation

Simulated virtual interviews (Zoom, HireVue-style).

Interview Story Bank Creation

Categorize stories by skill, company value, or role.

Crisis Question Coaching

How to answer gaps, firings, career changes etc.

Resume Building
ATS Optimization

Tailor resumes with the right keywords to pass Applicant Tracking Systems..

Role-Specific Customization

Create versions of the resume for different job types or industries.

Professional Formatting & Design 

Clean, modern templates that balance readability and visual appeal. 

Resume Critique & Live Feedback

Detailed feedback sessions with actionable edits. 

Entry-Level & Fresher Resume Creation 

Focused on projects, internships, academic achievements, and potential. 

LinkedIn Optimization
LinkedIn Revamp

Revamp your LinkedIn profile and give it a completely new look.

Headline Transformation for Visibility

Craft attention-grabbing, keyword-optimized headlines that showcase your expertise and make you stand out in searches.

Strategic Content & Engagement Plan

Develop a posting strategy to increase visibility, establish thought leadership, and engage with your network through relevant content sharing and comments. 

Connection Strategy for Networking

Develop a targeted connection approach, including personalized connection requests and outreach templates to grow your network with relevant professionals and recruiters. 

Career Support Services
Networking Concierge

Help clients create and maintain a networking plan.

Job Offer Evaluation Session

Compare compensation, benefits, growth potential, and cultural fit. 

Professional Communication Coaching

Focused on email etiquette, Slack culture, and workplace messaging. 

Job Boards training

Learn how to make the most use of professional job boards.

Entrepreneurial Path Planning

Explore how to turn your skills into a solo business or side hustle.

Success Stories!

Sunny Chopra - 
The one-on-one mentorship was a game-changer! My instructor guided me through complex concepts with real-world applications. I feel more confident in my skills and have already secured a job in my desired field.

Nikhil Dhir-
The learning path is clear, the resources are solid, and the instructors actually care about your progress. I’m now working remotely and making more than I ever did in my old job.


Rishabh Gupta- 
The instructors are not only experienced professionals but also incredible mentors. They took the time to address my doubts and ensured I fully understood each topic. I’ve never had such a supportive learning experience.

Harsh Patel-
Before taking this course, I struggled to land a tech job. The hands-on projects, personalized mentorship, and career guidance helped me build a strong portfolio, and I finally landed my dream role as a developer.


Aru Bhaskar-
I’d tried a few online coding courses before, but none were as hands-on and community-driven as NextGen Coders. The support and mentorship made all the difference.


Kiran-

As a former retail manager, I was nervous about switching careers. NextGen Coders made it possible. I now work in as a Python developer and have a real future ahead of me.


Hasan-
The lessons are clear, the projects are legit, and the progress I’ve made is insane. I feel confident applying for junior dev roles now. For the first time, I actually feel like a real developer.


Got a Query ??

Check out our FAQ !

Why should I opt for NextGen Coders?

At NextGen Coders, we don’t just teach — we mentor you all the way from basics to job readiness. Our hands-on courses, 1-on-1 mentorship, and personalized career support help you build skills that actually get you hired — all at extremely affordable prices.

What if I miss a class or fall behind?

No need to stress if you miss a session — every class is recorded and available to you anytime, anywhere. You’ll have lifetime access to the recordings so you can learn at your own pace. Plus, our regular doubt-clearing sessions and active support channels ensure you never fall behind, no matter where you start.

Are your courses beginner-friendly?

Absolutely. Most of our programs are designed with beginners in mind — no prior experience needed. We start from scratch and support you with doubt sessions, real examples, and hands-on practice to build your confidence step-by-step. 

We do offer upskilling batches as well.

Are there EMI or student discounts available?

Yes, we’ve got your back with student-friendly pricing, early bird deals, and flexible payment options. Reach out to our team to know about the latest offers and discounts available for you!