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Data Analytics Training

$599.00$2,199.00

Zillion’s Data Analytics Training offers a practical, Python-based curriculum aligned with 2025 industry demands, teaching you techniques to analyze, visualize, and draw actionable insights from complex data sets. Benefit from live expert sessions, hands-on projects, and lifetime learning resources to build a future-ready analytics career.

We conduct classroom training across the state—customers can share their email address and location to confirm the training schedule in their city.
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Data Analytics Training – Master Essential Skills for 2025 and Beyond

In today’s data-driven world, Data Analytics empowers you to transform raw data into actionable insights that fuel smarter business decisions. Zillion’s Data Analytics Training is designed to give you a thorough understanding of statistical analysis, data exploration, visualization, and core machine learning concepts—all essential for becoming a proficient data analyst in 2025 and beyond.

This course concentrates on tools and techniques drawn from statistics, computer science, and mathematics, applied through Python programming—the industry’s leading language for analytics. You’ll learn how to analyze complex datasets, apply supervised and unsupervised machine learning algorithms, and generate meaningful visual reports to support business strategies.

What You Will Learn

  • Understand foundational data analytics concepts, including descriptive statistics, probability, and inferential methods

  • Gain expertise in data extraction, cleaning, wrangling, and exploratory data analysis

  • Apply Python libraries (such as Pandas, NumPy, Matplotlib, Scikit-learn) to manipulate and visualize data

  • Explore supervised learning algorithms including regression, classification (Decision Trees, Random Forests, Naive Bayes), and support vector machines

  • Learn unsupervised techniques like clustering (K-means, hierarchical clustering) and association rules

  • Develop recommendation engines and perform text mining for natural language data analysis

  • Model and forecast time series data using ARIMA and Exponential Smoothing methods

  • Get introduced to cutting-edge deep learning concepts and reinforcement learning basics for advanced analytics

Key Features

  • 32 hours of live, instructor-led online classes scheduled with flexible weekday and weekend batches

  • Hands-on projects and real-life case studies to apply your skills to business problems

  • 40+ practical assignments ensuring a minimum of 40 hours of coding, analysis, and visualization experience

  • Lifetime access to Learning Management System (LMS) including recorded sessions and course resources

  • 24/7 expert support to guide you through learning challenges

  • Certification awarded upon project review and completion by Zillion’s expert panel

  • Focus on Python as the primary programming language reflecting the 2025 industry preference

Why Choose Data Analytics Training?

The role of data analytics professionals has grown exponentially across industries like finance, healthcare, retail, and technology. According to current market insights, data analysts with programming expertise in Python are among the highest employed and best paid specialists globally. This training equips you with practical skills to meet real-world business demands, prepare for certification exams, and accelerate your career.

Frequently Asked Questions

Do I need prior programming experience?
Basic familiarity with programming helps but is not mandatory; the course starts with essential Python concepts.

Is the certification internationally recognized?
Zillion’s certificate is widely respected by employers and can support your path to professional data analytics credentials.

Can I get group discounts for this course?
Yes, group and corporate discounts are available. Contact support@Zillionventure.com for details.

Will I get help with projects?
Yes, expert mentorship is provided for project completion and throughout your learning journey.

Course Outline

  • Introduction to Data Analytics and Python fundamentals

  • Statistical inference and probability theory

  • Data acquisition, preparation, and cleaning techniques

  • Exploratory data analysis and visualization in Python

  • Supervised machine learning: regression and classification models

  • Unsupervised learning: clustering and association analysis

  • Time series analysis and forecasting models

  • Text mining and sentiment analysis basics

  • Introduction to deep learning and reinforcement learning concepts

Additional information

Training Type

Classroom, Virtual Online Class, Self – Learning

Time

9am – 5 pm (Local Time), 9am – 5 pm Central Time, NA

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