Become a Certified Data Analytics Associate with Python
Live Online / Project-Based / Certification Focused
Data Analytics Associate with Python
Featured
8–10 weeks
Live Online
Why Nexperts Edutech’s Data Analytics with Python?
Features
What You Get
Benefits
Python-Based Analytics Curriculum
Core analytics using Python: Pandas, NumPy, Matplotlib, Seaborn, scikit-learn basics
U.S. employers highly value Python skills in analytics & data science roles
Certification Aligned
Prepares for “Certified Data Analytics Associate” credentials (or similar)
Credential adds credibility in U.S job market
Real-World Projects
Use case datasets (sales, marketing, operations, healthcare, finance)
Build portfolio pieces relevant to roles like Data Analyst, Business Analyst
Career & Job Support
Resume workshops, interview prep, job referrals in U.S & remote companies
Helps graduates land U.S-based or remote analytics roles
Flexible Learning Modes
Live sessions + recorded content + office hours
Accommodates working professionals, career switchers
Lifetime Access & Updates
Course content, future updates included
Stay current with evolving Python and analytics trends
What You Will Learn
By the end of this course, you will be able to:
-
Set Up Analytics Environment – Python installation, Jupyter/Python notebooks, virtual environments
-
Perform Data Ingestion & Cleaning – load from CSV, Excel, databases; missing values, duplicates, transformations
-
Exploratory Data Analysis (EDA) - summary statistics, distributions, correlations, outlier detection
-
Data Visualization – using Matplotlib, Seaborn, Plotly; craft dashboards for insights
-
Statistical Foundations – hypothesis testing, regression, confidence intervals, basic inferential statistics
-
Working with Databases – SQL basics, connecting Python to SQL, querying and integrating SQL + Python workflows
-
Introduction to Machine Learning – supervised vs unsupervised, simple models: linear regression, clustering
-
Deploying Insights & Reporting – create reports, share via dashboards (e.g. via Power BI / Plotly Dash / Streamlit)
-
Certification & Assessment Prep – mock exams, quizzes, code review
-
Capstone Project – full cycle: define business problem → import data → analyze → model → present insights visually and in report
Prerequisites & Tools
Prerequisites:
-
Basic familiarity with spreadsheet tools (Excel or Google Sheets)
-
Comfort with numerical/logical thinking
-
It helps if you know basic algebra; programming background helps but is not required
Tools You Will Use:
-
Python (3.x)
-
Jupyter Notebook or similar
-
Pandas
-
NumPy
-
Matplotlib / Seaborn / Plotly
-
scikit-learn (intro)
-
SQL tools
-
sample datasets
Why U.S. Learners Prefer This Course?
We optimize this offering around key U.S. search terms and needs, including:
-
“Python training USA”
-
“Python certification course online U.S.”
-
“Python plural sight alternative”
-
“Learn Python for business intelligence”
-
“Python hands-on projects for portfolio”
These keywords will help drive organic search from U.S. audiences to your site.
Success Stories & Alumni
“This Python analytics course was exactly what I needed to switch into a Data Analyst role in NYC.” — Sarah M., NY
“The capstone project let me show real business impact to my prospective employer.” — Alejandro R., CA
How It Works (Delivery & Support)
-
Onboarding & Orientation – access setup, syllabus walk-through
-
Live Sessions & Video Lessons – weekly instructor-led class + recordings
-
Labs & Assignments – small exercises after each module to practice skills
-
Office Hours & Peer Support – twice-weekly live Q&A, peer discussion forum
-
Capstone & Project Review – feedback on your final project from mentors
-
Mock Tests & Certification Tips – practice assessments, exam strategy
-
Career Support – resume templates, interview coaching, employer connections
Course Syllabus / Modules
Module
Topics Covered
Module 1: Analytics Fundamentals & Python Setup
Python basics, environment setup, data types, control flow
Module 2: Data Wrangling & Cleaning
Pandas, NumPy, handling missing data, feature engineering
Module 3: EDA & Data Visualization
Visualizing distributions, correlations, time series, dashboards
Module 4: Statistics & Probability
Descriptive stats, inferential stats, hypothesis testing
Module 5: Working with Databases & Big Data Basics
SQL queries, joining tables, connecting Python with SQL, intro to big data frameworks (if applicable)
Module 6: Machine Learning Foundations
Regression, classification basics, clustering, evaluation metrics
Module 7: Reporting & Communication
Storytelling with data, dashboards, presentation, visualization best practices
Module 8: Certification Prep & Best Practices
Code quality, reproducibility, version control basics, exam prep
Capstone Project
End-to-end analytics study: problem definition → data ingestion → modeling → reporting → presentation
Who Should Enroll / Target Audiences
-
Beginners or intermediate professionals aiming to become Data Analysts
-
Professionals switching from non-technical to data roles
-
Graduates wanting a project portfolio with Python analytics
-
Business Analysts needing Python + analytics skills
-
Anyone preparing for roles like Data Analyst, Junior Data Scientist, Analytics Associate
Pricing & Plans
All prices in USD. Flexible plans so you can choose based on the level of support you want.
Plan
Price
Features Included
Standard
$799
Live lectures, assignments, shared community support
Premium
$1,199
+ Mentor coaching, extra one-on-one code reviews, extended career services
Installment
3 payments of ~$280
Same Standard features, paid in installments
Corporate / Group Rates
Customized Pricing
For teams, institutions, companies
Discounts available for early registration / alumni / veterans.