Data Science Tools

★★★★★ (334 Reviews)

Training in Data Science Tools At Bsates, our Training in Data Science Tools program is designed to equip aspiring data professionals with the hands-on skills required to work with modern analytical, visualization, and automation tools. As the world increasingly relies on data-driven decision-making, mastering the right tools is essential for becoming an effective data analyst, scientist, or engineer.

Duration: 6 Months    100+ Recruitment Partners

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Data Science Tools
Skill Level

Beginner

Time to Complete

6 Months

Projects

50+ Projects

Prerequisites

None

About Data Science Tools

Our Data Science course equips you with skills in data analysis, machine learning, and statistical modeling using Python, Flask, ChatGPT, NumPy and SQL. Gain hands-on experience with real-world projects, data visualization, and AI techniques, earning industry-recognized certification to advance your career in data-driven roles.

Tools You Will Learn in Data Science Tools

COURSE CURRICULUM

Master Skills with Detailed Curriculum

1
Module 1: Introduction to Data Science
What is Data Science? Applications of Data Science Data Science vs. Data Analytics vs. Machine Learning Setting Up the Development Environment (Python, Flask, ChatGPT, NumPy and SQL)
2
Module 2: Mathematics & Statistics for Data Science
Linear Algebra (Vectors, Matrices, Eigenvalues) Probability and Statistics Hypothesis Testing Descriptive and Inferential Statistics Correlation and Regression Analysis
3
Module 3: Programming for Data Science
Python Basics: Variables, Data Types, Control Structures Data Manipulation with Pandas NumPy for Scientific Computing Data Cleaning and Preprocessing
4
Module 4: Data Wrangling & Preprocessing
Handling Missing Values Data Transformation Techniques Feature Engineering Data Normalization & Standardization Handling Categorical Data
5
Module 5: Exploratory Data Analysis (EDA)
Data Visualization with Matplotlib & Seaborn Identifying Patterns and Outliers Correlation Analysis Data Distribution and Statistical Insights
6
Module 6: Machine Learning Fundamentals
Introduction to Supervised & Unsupervised Learning Bias-Variance Tradeoff Model Selection and Evaluation Metrics Train-Test Split & Cross-Validation
7
Module 7: Supervised Learning Algorithms
Linear Regression & Logistic Regression Decision Trees & Random Forest Support Vector Machines (SVM) K-Nearest Neighbors (KNN) Gradient Boosting (XGBoost, LightGBM)
8
Module 8: Unsupervised Learning Algorithms
Clustering (K-Means, Hierarchical, DBSCAN) Principal Component Analysis (PCA) Association Rule Learning (Apriori, Eclat)
9
Module 9: Deep Learning & Neural Networks
Introduction to Neural Networks Deep Learning with TensorFlow & Keras Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) & LSTMs Transformers & Advanced Architectures
10
Module 10: Data Science Projects & Case Studies
Hands-on Projects (Fraud Detection, Recommendation Systems, Predictive Analytics) Industry Case Studies Resume Building & Interview Preparation

Why Get Our Data Science Tools Certification

Doubt Clearing Sessions
Assignment Evaluation & Solutions
Industry Experts Trainers
Data Science Tools

Data Science Tools

Industry Relevant Projects
PW Lab For Your Code Practice
Career Guidance Sessions
Industry Requirement

The technology industry is evolving rapidly, and companies are constantly seeking skilled professionals who can adapt to new tools and frameworks. At Tech Zenn, we understand the critical need for trained developers proficient in the latest technologies like Web Development, Data Science, Machine Learning, Cloud Computing, and more.

Employers demand candidates with hands-on experience, problem-solving skills, and the ability to work on real-world projects. Our training programs are designed to bridge this gap by providing immersive, project-based learning that prepares you for the challenges of the modern IT workplace.

With the growing adoption of automation, AI, and cloud platforms, the demand for certified professionals continues to rise. Tech Zenn equips you with industry-relevant skills, certifications, and mentorship to help you stand out and secure rewarding roles in the competitive job market.

5.0
(17 Reviews)
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Students Reviews

  • Profile picture of Rahul Sharma
    Rahul Sharma

    Tech Zenn’s training helped me crack interviews with confidence. Excellent faculty and hands-on projects!

    August 15, 2025
  • Profile picture of Priya Patel
    Priya Patel

    Great course structure and supportive mentors. Highly recommend for beginners and professionals alike.

    July 10, 2025
  • Profile picture of Amit Verma
    Amit Verma

    The practical approach at Tech Zenn made learning complex topics easy and enjoyable.

    September 2, 2024

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Tech Zenn Instructor

Expert Trainer / Mentor

Tech Zenn instructors bring years of industry experience and practical knowledge to help you master the skills you need for a successful career.

Fast-Track Your Career with Job Assistance Program

Soft Skills Sessions
Aptitude Training
Resume Building Sessions
LinkedIn Profile Building
Mock Interviews
Job Assistance
Data Science Tools

How it Works?

Choose a programme of your interest
Receive personal counselling
Complete application & payment
Get certified & qualify for placement
Data Science Tools
ELIGIBILITY CRITERIA

Understand the Eligibility Criteria for Course Enrollment

  • B.E./B.Tech – Computer Science, IT, Electronics, Electrical, etc.
  • BSc/MSc – Computer Science, IT
  • BCA/MCA
  • Final Year Students – Graduating in 2023
  • Fresh Graduates – Graduated in 2021/2022
  • Working Professionals – Graduated in 2020

Frequently Asked Questions

A Data Science course teaches data analysis, machine learning, and statistical modeling to extract insights from data and solve real-world problems.

Anyone interested in data-driven decision-making, including students, working professionals, and software engineers looking to switch to Data Science roles.

Basic programming knowledge is helpful, but beginner-friendly courses start from fundamentals. Python and R are commonly used in the course.

The course primarily covers Python, Flask, ChatGPT, NumPy and SQL for data analysis, machine learning, and statistical computing.

You will learn Pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, SQL, and cloud platforms like AWS and Google Cloud.

Topics include Data Preprocessing, Machine Learning, Deep Learning, Data Visualization, NLP, Big Data, and Model Deployment.

Yes, after successfully completing the course, you will receive an industry-recognized certification.

Yes, you will work on real-world projects, including predictive modeling, recommendation systems, fraud detection, and NLP applications.

You can enroll through the course provider’s website by filling out the application form and meeting the eligibility requirements.

About Us

At Bsates , we empower students and professionals with industry-ready skills through expert-led training in Web Development, Data Science, Programming, Cloud Computing, Machine Learning, and more. Our mission is to bridge the gap between learning and real-world application, helping you build a successful tech career.

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