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Class Mode

Online / Offline

Language

Tamil / English

Duration

3-Months

One-On-One Training

Amount: ₹35,000

Our Students Working At

Course Highlight

Our Data Science program equips you with essential skills in data collection, cleaning, analysis, and visualization. You'll master industry-standard tools like SQL, Python, Tableau, and Power BI, along with statistical modeling and data-driven decision-making. With hands-on projects and placement assistance, you'll be prepared for a career in Data Science.

Live Interactive Sessions

Learn directly from industry mentors in live classes.

Project Portfolio

Build real-world projects to showcase your skills.

Career Assistance

Get guidance to land your dream job in tech.

Dedicated Peer Network

Connect and collaborate with like-minded learners.

Learn Creative Skills

Enhance your problem-solving and coding abilities.

Certification

Earn an industry-recognized certificate upon completion.

Upcoming Batch

SI.NO Date Day Mode Course Details

Tools Used for Data Science

These are the essential tools and technologies used for modern Data Science. They help in data collection, processing, visualization, and interpretation to make informed business decisions and drive insights.

Course Syllabus

Our Data Science program equips you with comprehensive skills in data collection, processing, visualization, and interpretation. You’ll gain expertise in industry-standard tools like SQL, Python, R, Tableau, and Power BI, along with statistical analysis and machine learning techniques. Through hands-on projects and placement assistance, you'll become a job-ready Data Scientist, prepared to extract meaningful insights and drive data-driven decision-making.

Data Science

Introduction

Overview of Data Science: Definition, benefits, and applications.

Understanding the data science lifecycle: Data collection, cleaning, analysis, visualization, modeling, and interpretation.

Exploring the roles and responsibilities of Data Scientists across industries.

Collaboration between data teams, machine learning engineers, and business analysts.

Utilizing industry-standard tools like Python, SQL, Jupyter Notebook, TensorFlow, and Power BI.

Essential Python Libraries for Data Science

NumPy

Arrays and Vectorized Operations

Array Manipulation and Mathematical Functions

Pandas

DataFrames and Series.

Data Cleaning and Transformation

Handling Missing Data

Matplotlib and Seaborn

Data Visualization Basics

Creating Charts and Plots

Advanced Customizations

Scikit-learn

Overview and Installation

Data Handling and Preprocessing

Importing Data (CSV, Excel, SQL, Web APIs)

Data Cleaning Techniques

Handling Missing Values

Removing Duplicates and Outliers

Encoding Categorical Data

Data Transformation and Feature Scaling

Data Handling and Preprocessing

Importing Data

Loading data from various sources including CSV, Excel, SQL databases, and Web APIs.

Data Cleaning Techniques

Handling missing data, removing duplicates, and detecting outliers to improve data quality.

Handling Missing Values

Techniques for identifying and imputing missing data using statistical methods.

Removing Duplicates and Outliers

Eliminating redundant data and identifying extreme values that may affect analysis.

Encoding Categorical Data

Converting categorical variables into numerical formats using encoding techniques like One-Hot Encoding and Label Encoding.

Data Transformation and Feature Scaling

Applying transformations such as normalization and standardization to optimize model performance.

Data Science and Machine Learning

Understanding Data Science Concepts

Exploring the fundamentals of data science, including data processing and model building.

Understanding the role of data scientists in various industries.

Exploratory Data Analysis (EDA)

Using visualizations and descriptive statistics to understand patterns in data.

Identifying correlations, trends, and distributions for better insights.

Building Predictive Models

Applying machine learning algorithms for regression, classification, and clustering.

Evaluating model performance using accuracy metrics and validation techniques.

Interpreting and Communicating Results

Translating complex data insights into actionable business recommendations.

Using data visualization and storytelling techniques to present findings effectively.

Advanced Data Science

Predictive Analytics and Machine Learning

Understanding predictive modeling and its real-world applications.

Introduction to regression, classification, and time-series forecasting models.

Machine Learning Fundamentals

Overview of supervised and unsupervised learning techniques.

Exploring key algorithms such as linear regression, decision trees, clustering, and neural networks.

Data Automation and Model Deployment

Automating data processing using Python, SQL, and scripting.

Deploying machine learning models using cloud platforms and AI-driven analytics tools.

Real-World Applications of Data Science

Industry-Specific Case Studies

Exploring data science applications in healthcare, finance, marketing, retail, and technology.

Understanding how AI and machine learning drive business transformation.

End-to-End Data Science Projects

Executing a full data science pipeline from data collection to model deployment.

Utilizing Python, SQL, and visualization tools for extracting actionable insights.

Hands-On Collaborative Projects

Working with real-world datasets to solve business problems.

Building predictive models and presenting data-driven recommendations to stakeholders.

Hands-On Data Science Project

End-to-End Data Science Workflow

Working on a real-world dataset covering data collection, cleaning, exploration, and modeling.

Applying machine learning techniques to extract insights and make predictions.

Building Data Science Solutions

Utilizing Python, SQL, and libraries like Pandas, NumPy, Scikit-learn, and TensorFlow.

Developing models for classification, regression, and clustering based on project requirements.

Visualizing and Presenting Findings

Creating interactive visualizations using Matplotlib, Seaborn, and Tableau/Power BI.

Presenting data-driven recommendations through reports and dashboards.

Data Science

Extracting meaningful insights from structured and unstructured data.

Applying machine learning, statistical analysis, and predictive modeling techniques.

Using tools like Python, SQL, Jupyter Notebook, TensorFlow, and Power BI.

Data Science Tools and Best Practices

Overview of essential tools for data science and machine learning.

Data preprocessing, feature engineering, and transformation techniques.

Best practices for model evaluation, validation, and optimization.

Ensuring data security, ethics, and compliance in AI applications.

Key tools: Python, SQL, Jupyter Notebook, TensorFlow, Scikit-learn.

Real-World Project Implementation

End-to-end machine learning project execution.

Hands-on experience with data wrangling, feature selection, and model training.

Case studies on predictive modeling, NLP, and computer vision applications.

Industry-standard practices for AI-driven decision-making.

Tools Used for Full Stack Development

These are the essential tools and technologies used for modern full-stack development. They help build scalable, efficient, and high-performance web applications.

Why Choose Data Science?

Choosing us means leveraging our 10 years of expertise in Data Science. We specialize in transforming raw data into actionable insights, building predictive models, and optimizing business strategies using the latest machine learning and AI techniques. Our program ensures you master industry best practices, equipping you to excel as a Data Scientist and drive data-driven success.

Data Collection & Processing

Learn how to collect, clean, and process data efficiently using SQL, Python, and R.

Data Visualization

Master visualization tools like Tableau, Power BI, and Matplotlib to present insights effectively.

Machine Learning & AI

Gain hands-on experience with predictive modeling, neural networks, and deep learning using Python.

Statistical Analysis

Understand data patterns, trends, and business implications with statistical and inferential techniques.

Data Automation & Scripting

Automate data workflows and model training using Python, R, and SQL.

Industry-Relevant Training

Our expert trainers provide hands-on experience with real-world datasets, AI projects, and case studies.

Exclusive Course Offerings

Job-Ready Syllabus
In-Depth Course Material
Flexible Online Classes
Hands-On Final Project
Coding Challenges
Real-World Tasks
Expert Q&A Sessions
One-on-One Mentorship
Industry-Recognized Certificate
Placement Assistance
24/7 Query Resolution
Professional Community

Our Trainers

At Fazo Academy, we are dedicated to providing a comprehensive blend of theoretical knowledge and practical skills in Data Science through our passion for blended learning.

Our experienced Data Science instructors specialize in industry-relevant skills and bring extensive field experience to the classroom.

Students benefit from hands-on training led by real-time professionals, gaining a deep understanding of the latest industry practices in data collection, processing, visualization, statistical analysis, machine learning, and artificial intelligence.

Our specialized training programs, conducted by competent instructors, ensure that students acquire in-depth knowledge and relevant skills using tools like Python, R, SQL, Power BI, Tableau, TensorFlow, PyTorch, and Excel.

Our dedicated Data Science trainers craft personalized training programs, including hands-on projects, real-world simulations, and valuable insights into interview preparation through mock interviews.

Data Science Course Image

Feedback From Happy Students

I had a great learning experience at Fazo Academy. The small batch size allowed me to get individual attention from the mentors, and the one-on-one sessions really helped me improve my skills. The placement support was excellent—I got placed within two months of completing my course. Highly recommended for anyone looking to start their career in IT!

Muthu Kumar

Fazo Academy

Fazo Academy offers hands-on training with live project exposure, which made it easy for me to understand real-time IT work. The fee is affordable compared to other institutes, and the quality of training is top-notch. The mentors are very supportive and experienced. I’m grateful for the personalized learning environment.

Karthick

Fazo Academy

What I loved about Fazo Academy was their focus on practical knowledge and job readiness.The live project exposure gave me real confidence during my interviews. The mentors werealways available to help, and the small batch size ensured personal attention. I landed my firstjob soon after completing the course!

Sathya Priya

Fazo Academy

The one-on-one sessions at Fazo Academy were incredibly helpful. I could clear all my doubts without feeling hesitant. The batch size was small, with only 3-4 students, so the learning experience was very personalized. Thanks to their guidance, I am now working in a good ITcompany!

Hari

Fazo Academy

With only 3-4 students per batch, the trainers could focus on every student individually. The one-on-one sessions were extremely beneficial in clearing my doubts. The fee is affordable, and the placement support is genuine. I highly recommend Fazo Academy!

Vaishaly

Fazo Academy

The personalized attention from mentors, small batch size, and affordable fees make Fazo Academy stand out. I learned a lot through their live projects, which helped me in interviews. Thanks to their placement support, I got my first job as a software developer.

Pankaj

Fazo Academy

Fazo Academy provides high-quality training at an affordable price. The mentors have years ofexperience, and their teaching style is very effective. The live project exposure gave me theconfidence to handle real-world IT challenges. Great place to start your career!

Mohana

Fazo Academy

As a fresher, I was looking for an institute that could provide practical knowledge and placementassistance. Fazo Academy delivered exactly that. The small batch size and one-on-one sessionsensured personalized learning. I’m grateful for the placement support I received.

Priya

Fazo Academy

Placement Support

After completing your Data Science course at Fazo Academy, you'll gain access to a range of placement benefits and interview support designed to help you secure rewarding job opportunities as a Data Scientist.

Placement Benefits

  • Industry Connections: Fazo Academy has built strong relationships with leading companies in finance, healthcare, e-commerce, and tech industries, ensuring excellent job opportunities for our Data Science graduates.
  • Dedicated Placement Assistance: Our placement team organizes job fairs, recruitment drives, and direct company referrals for Data Science roles.
  • Resume Building Support: Our career experts assist in crafting resumes that highlight key Data Science skills, including machine learning, deep learning, Python, and statistical analysis.
  • Interview Preparation: We conduct technical training sessions covering Python, SQL, Power BI, Tableau, TensorFlow, PyTorch, and AI fundamentals.

Interview Cracking Support

  • Mock Interviews: We simulate real-world Data Science interview scenarios with technical and HR rounds.
  • Personalized Coaching: One-on-one coaching to enhance problem-solving and data interpretation skills.
  • Insider Tips and Strategies: Learn how to showcase your machine learning and AI expertise effectively in job interviews.
  • Continuous Support: We provide post-placement guidance to help you excel in your Data Science career.
Placement Benefits

Frequently asked Question...?

FAQs about Fazo Academy

Fazo Academy offers a wide range of programs in various fields including software development, cloud computing, cybersecurity, and more. Our flagship program includes Data Science training, covering data visualization, SQL, Python, machine learning, deep learning, and AI fundamentals.

Yes, our Data Science courses are accredited and recognized by the industry. We follow a curriculum designed to meet the latest AI and data science trends, ensuring students gain real-world, job-ready skills.

Yes, Fazo Academy offers flexible payment options and financial aid for eligible students. Our team can guide you through available scholarships, grants, and installment plans.

While no prior experience is required, a basic understanding of mathematics, statistics, and programming (Python) is beneficial. Our admissions team can help assess your readiness for the Data Science program.

Yes, Fazo Academy provides job placement support through resume-building workshops, mock interviews, and direct connections with hiring companies in the Data Science field.

FAQs about Data Science at Fazo Academy

The Data Science Course at Fazo Academy is a comprehensive training program designed to teach students how to analyze, visualize, and interpret data for business decision-making. You'll gain expertise in tools like Python, SQL, Excel, Tableau, Power BI, and machine learning techniques, including deep learning and AI fundamentals.

The Data Science Course is suitable for students, business professionals, IT specialists, and anyone interested in using data-driven insights for decision-making. Whether you’re a beginner or an experienced professional looking to upgrade your skills, this course provides in-depth knowledge of data science techniques and industry-standard tools.

In this course, you'll learn data collection, cleaning, and visualization techniques. You'll work with key tools like Python, SQL, and visualization platforms such as Tableau and Power BI. The course covers data wrangling, statistical analysis, predictive modeling, machine learning, deep learning, and real-world case studies to enhance practical learning.

There are no strict prerequisites for enrolling in the Data Science Course. However, a basic understanding of mathematics, statistics, and programming (Python, SQL) can be helpful. This course is designed for beginners as well as professionals looking to transition into data science. Prior experience with databases or analytics tools is beneficial but not required.

Fazo Academy offers the Data Science Course in both online and in-person formats. Students can choose the learning mode that best suits their schedule and learning style. Both formats include hands-on projects, live interactive sessions, and mentorship from industry experts to provide a comprehensive learning experience.

The Data Science Course at Fazo Academy typically lasts between a few weeks to a few months, depending on the selected learning format (full-time or part-time). The course covers data wrangling, data visualization, statistical analysis, machine learning, deep learning, and hands-on training in tools like Python, SQL, Tableau, Power BI, and AI techniques.

Graduates of the Data Science Course at Fazo Academy can explore careers such as Data Scientist, Machine Learning Engineer, AI Specialist, Business Analyst, and Data Engineer. With expertise in data visualization, statistical modeling, machine learning, and AI, you’ll have opportunities in industries such as finance, healthcare, e-commerce, and technology.

Yes, Fazo Academy provides job placement assistance to graduates of the Data Science Course. Our career services team offers resume building, certification guidance, interview preparation, and networking opportunities with top companies. We help connect you with roles such as Data Scientist, Machine Learning Engineer, AI Developer, and Business Intelligence Analyst in industries like finance, technology, and healthcare.

FAQs about Training Methods at Fazo Academy

Fazo Academy employs a variety of training methods to ensure comprehensive learning experiences for students. These methods include interactive lectures, hands-on projects, peer collaboration, one-on-one mentorship, industry-relevant curriculum, and flexible learning options

Yes, our lectures are designed to be interactive, allowing students to engage with instructors, ask questions, participate in discussions, and collaborate with peers. Interactive lectures promote active learning and deeper understanding of course material.

Hands-on projects are an integral part of the training at Fazo Academy. Students work on real-world projects throughout the course, applying their knowledge to solve practical problems and build portfolio-worthy applications. These projects provide valuable hands-on experience and reinforce learning objectives.

Yes, peer collaboration is highly encouraged at Fazo Academy. Students often work in teams to complete projects, share insights, and learn from each other's experiences. Collaborative learning fosters a supportive learning environment and enhances the overall learning experience.

Yes, students at Fazo Academy receive personalized one-on-one mentorship from instructors. Our instructors provide guidance, feedback, and support tailored to individual learning needs, helping students overcome challenges and achieve their goals.

Fazo Academy's curriculum is continuously updated to reflect the latest industry trends and technologies. Our instructors stay abreast of developments in the field and incorporate relevant updates into the curriculum to ensure students learn in-demand skills and tools.

Yes, Fazo Academy offers flexible learning options to accommodate different schedules and learning preferences. Students can choose from full-time, part-time, online, and in-person courses, allowing them to tailor their learning experience to fit their needs.

Yes, practical application of learning concepts is emphasized at Fazo Academy. Students have opportunities to apply their knowledge through hands-on projects, coding exercises, and real-world simulations, ensuring they develop practical skills that are directly applicable to their chosen field.

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