Data Science – Live Training

 

Master the art of data-driven decision-making with this comprehensive, practical Data Science training course. Start with the fundamentals of Python programming and statistics, and progress to advanced topics like machine learning, predictive modeling, data visualization, and real-world project implementation.

Learn to clean, transform, and analyze data using powerful tools like pandas, NumPy, scikit-learn, SQL, and Tableau. Build end-to-end machine learning pipelines, evaluate models effectively, and gain insights from structured and unstructured data. Whether you’re a beginner or transitioning from another role, this course equips you to solve real business problems confidently using data

 

Live Sessions Price:

For LIVE sessions – the offer price after discount is 200 USD 159 USD 99 USD Or 13000 INR 9900 INR 8900 Rupees.

Enroll For Free Demo

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Free Demo Session:

21st Aug @ 9 PM – 10 PM (IST) (Indian Timings)/

2nd Aug @ 11:30 AM – 12:30 PM (EST) (U.S Timings)/

2nd Aug @ 4:30 PM – 5:30 PM (BST) (U.K Timings)

 

Class Schedule:

For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)

For Participants in US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)

For Participants in UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)

 

What students have to say about the Trainer :

🧑‍🎓 Divya Nair: “The Data Science course gave me the confidence to work on real datasets and understand the entire analysis workflow.” 🧑‍🎓 Sneha Iyer: “From Python basics to model building, everything was explained clearly with practical examples—perfect for beginners like me.” 🧑‍🎓 Arjun Das: “I transitioned from a non-tech background, and this course made complex concepts like machine learning easy to grasp.”

 

Salient Features:

• 30 Hours of Live Training along with recorded videos
• Lifetime access to the recorded videos
• Course Completion Certificate

 

Who can enroll in this course?

• Manual/Test Engineers Interested in switching to data-driven or analytics roles.
• Business Analysts Who want to strengthen their data analysis, visualization, and ML skills.
• Non-IT Professionals Curious about data, trends, or making data-driven decisions.
• Career Switchers exploring Who want to move into data analytics, machine learning, or AI.

What will I learn by the End of this course?

• By the end of the Data Science course, you will have a strong foundation in data analysis, statistical concepts, and machine learning techniques. You will gain hands-on experience working with real-world datasets using tools like Python, pandas, NumPy, and scikit-learn. You’ll also learn how to clean, visualize, and interpret data, as well as build predictive models for business problems. Additionally, you will create interactive dashboards using Tableau or Power BI and write efficient SQL queries to extract insights from databases. Through guided projects, you’ll develop practical skills that make you job-ready for roles such as Data Analyst, Junior Data Scientist, or BI Analyst.

Course syllabus:

🟠 Module 1: Introduction to Data Science

• What is Data Science?

• Real-world applications

• Data Science lifecycle

• Roles and responsibilities of a Data Scientist

🟠 Module 2: Python for Data Science

• Python basics: variables, loops, functions

• Data structures (lists, dictionaries, tuples)

• Working with libraries: NumPy, pandas

• File handling and data import/export

🟠 Module 3: Statistics & Probability

• Descriptive statistics (mean, median, mode, variance)

• Probability distributions

• Hypothesis testing

• Correlation and covariance

🟠 Module 4: Data Wrangling & EDA

• Data cleaning (handling missing data, outliers)

• Data transformation

• Exploratory Data Analysis (EDA) using pandas & seaborn

🟠 Module 5: Data Visualization

• Creating charts with Matplotlib and Seaborn

• Dashboard building using Tableau / Power BI

• Storytelling with data

🟠 Module 6: SQL for Data Science

• Basics of SQL

• Joins, aggregations, and subqueries

• Querying large datasets

🟠 Module 7: Machine Learning

• Supervised vs. Unsupervised learning

• Regression (Linear, Logistic)

• Classification (Decision Trees, Random Forest, KNN)

• Clustering (K-Means)

• Model evaluation and tuning

🟠 Module 8: Capstone Projects

• End-to-end project development

• Business problem analysis

• Model deployment (optional overview)

• Final presentation and feedback

 

How can I enroll for this course?

Enroll For Free Demo

OR

For any other details, Call me or Whatsapp me on +91-79958 11169

 

Live Sessions Price:

For LIVE sessions – the offer price after discount is 200 USD 159 USD 99 USD Or 13000 INR 9900 INR 8900 Rupees.

 

Sample Course Completion Certificate:

Your course completion certificate looks like this……

🌟 Reviews from Our Previous Playwright Batch 🌟