Data Science with Python Certification Course (USA)
Live Online | Project-Based | Career-Focused
Data Science with Python
Featured
6–8 Months
Live Online
💡 Why Choose Nexperts Edutech (USA) for Data Science with Python?
Features
What You Get
Benefits
Comprehensive U.S.-Aligned Curriculum
Python, Pandas, NumPy, scikit-learn, SQL, Power BI, Tableau
Learn tools U.S. employers demand
Hands-On Real Projects
6+ real-world datasets from finance, marketing, and healthcare
Build a portfolio that stands out
Career Coaching (U.S. Focused)
Resume optimization, LinkedIn branding, interview prep
Tailored for U.S. job placements & remote roles
Certification Path
Nexperts Edutech Data Science with Python Certificate
Boost credibility for roles like Data Analyst / Scientist
Flexible Learning Options
Live classes + self-paced videos + mentor support
Designed for busy professionals
Lifetime Access & Updates
All future course updates included
Stay current with Python & ML trends
Learning Outcomes
By the end of this course, you’ll be able to:
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Write efficient Python programs for data manipulation and analysis.
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Perform data wrangling, cleaning, and transformation using Pandas & NumPy.
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Conduct statistical analysis and build predictive models using scikit-learn.
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Visualize insights with Matplotlib, Seaborn, Power BI, and Tableau.
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Apply Machine Learning algorithms — regression, classification, clustering.
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Integrate SQL for data extraction and analysis.
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Build and present real-world analytics dashboards.
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Complete a Capstone Project solving a business problem end-to-end.
Course Curriculum
Module
Topics Covered
Module 1: Python for Data Science
Syntax, data types, loops, functions, Jupyter setup
Module 2: Data Analysis with Pandas & NumPy
DataFrames, aggregation, merging, cleaning
Module 3: Data Visualization
Matplotlib, Seaborn, storytelling with visuals
Module 4: Statistics & Probability
Distributions, hypothesis testing, correlation
Module 5: SQL for Data Science
Joins, subqueries, connecting SQL to Python
Module 6: Machine Learning Foundations
Supervised/unsupervised learning, regression, classification
Module 7: Advanced ML Concepts
Feature selection, cross-validation, hyperparameter tuning
Module 8: Data Visualization with Power BI & Tableau
Building interactive dashboards, KPIs, and reports
Module 9: Big Data & Cloud Overview
Intro to Spark, AWS S3, and cloud-based analytics
Module 10: Capstone Project
Full data science workflow from data cleaning → model → dashboard presentation
Tools & Technologies You’ll Learn
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Programming & Analysis: Python, SQL
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Libraries: Pandas, NumPy, scikit-learn, Matplotlib, Seaborn
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Visualization Tools: Power BI, Tableau
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Cloud Basics: AWS, Azure (introductory level)
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Project Environments: Jupyter Notebook, VS Code, GitHub
Certification & Career Path
You’ll earn:
✅ Nexperts Edutech Certificate in Data Science with Python
This certification demonstrates your ability to analyze data, build models, and visualize insights — skills employers in the U.S. actively seek.
Job Titles You Can Aim For:
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Data Analyst
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Junior Data Scientist
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Business Intelligence Analyst
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Machine Learning Associate
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Data Visualization Specialist
Capstone Project Examples
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Customer Retention Model using machine learning (Telecom dataset)
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E-commerce Sales Forecasting with time-series models
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Financial Risk Prediction using logistic regression
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Sentiment Analysis Dashboard (Twitter data)
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Healthcare Insights Project — Predicting disease likelihood
Student Success Stories
“This course helped me transition from a marketing role to a Data Analyst position in New York. The mentorship was fantastic!” — Emily R., NY
“The capstone project became my portfolio piece — I landed interviews with two U.S. startups right after completion.” — Jacob L., TX
How It Works
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Enroll Online → Choose your batch and complete registration
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Start Learning → Attend live classes or learn at your own pace
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Complete Projects → Build your portfolio with mentor feedback
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Earn Certification → Receive verified Nexperts Edutech certificate
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Get Career Support → Resume review, mock interviews, job referrals
Who Should Enroll
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Beginners aspiring to enter Data Science / Data Analyst careers
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Software developers & IT professionals upskilling into analytics roles
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Business analysts seeking to leverage Python for deeper insights
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Students or graduates seeking portfolio-based learning
Pricing & Enrollment (U.S. Market)
All prices in USD. Flexible plans so you can choose based on the level of support you want.
Plan
Price
Features Included
Standard Plan
$1,199
Live sessions, projects, assignments, and certification
Pro Plan
$1,499
+ Mentor support, resume prep, job placement guidance
Installment Plan
$450 x 3 months
Same as Standard plan, flexible payment option
Corporate / Group Training
Custom Pricing
Tailored for teams & organizations
Early-bird discounts & limited scholarships available for selected learners.