Data Science Course with Placement Guarantee

Are you looking for a Data Science Course with Placement Guarantee? This course is designed for absolute beginners and professionals looking to build a career in Data Science, AI, and Machine Learning with 100% placement Guarantee.

Duration

6 Months

Next Batch

12 April 2025

Data Science Course(#113)

Name

Mobile

Country

Data Science Course Overview

Our Data Science Course is a job-focused program designed for beginners and professionals looking to transition into the field of data science. This course covers Python, Machine Learning, Deep Learning, AI, and Data Analytics, ensuring you master the skills top companies’ demand. Through hands-on projects and real-world case studies, you’ll build a strong portfolio to showcase your expertise to potential employers.

The demand for data science professionals is skyrocketing, with companies actively hiring data analysts, machine learning engineers, and AI specialists to make data-driven decisions. Whether you’re a fresh graduate looking for your first job or a working professional wanting to switch careers, our Data Science Course with Placement Guarantee will equip you with the right skills and job-ready experience to land a high-paying role in the industry.

You’ll get hands-on training with real-world projects, live industry case studies, and mentorship from experienced data scientists.

Why Choose Our Data Science Course with Placement Guarantee?

Our Data Science Course with Placement Guarantee is designed to help you master Python, Machine Learning, AI, Deep Learning, and Big Data; the most in-demand skills in today’s tech industry.

Here are some other reasons to join our data science course with 100 placement guarantee:

Learn from Experts – Get trained by industry professionals with real-world experience.
Hands-on Projects – Work on live datasets and real business problems.
100% Placement Support – Resume building, mock interviews & direct job referrals.
Globally Recognized Certification – Boost your resume with a valued credential.
Flexible Learning Options – Online, weekend, and self-paced batches available.
India’s Best Data Science Institute – PyNet Labs is considered the best institute for Data Science with job Guarantee.

Upcoming Batches

Data Science Course

DATE

TIME

SEATS LEFT

Batch 1
Weekends Batch
(Saturday & Sunday)
Starting from 26th April 2025

5 PM to 8 PM Indian Time
7: 30 AM to 10: 30 AM Eastern Time
11: 30 AM to 2: 30 PM UTC/ GMT00

Upcoming Batches

Data Science Course

DATE

Batch 1
Weekends Batch
(Saturday & Sunday)
Starting from 26th April 2025

TIME

5 PM to 8 PM Indian Time
7: 30 AM to 10: 30 AM Eastern Time
11: 30 AM to 2: 30 PM UTC/ GMT00

SEATS LEFT

Start Your Data Science Journey Today!

Data Science Course Fees - ~~INR 1,20,000~~ INR 84,500/- Only
Easy EMI Options Available
(Complimentary English Classes)

What is Data Science?

Data Science is the process of extracting insights from data using programming, statistics, and machine learning. Businesses use data science to predict trends, automate processes, and make data-driven decisions. With the rise of AI and big data, data science has become one of the most in-demand career fields worldwide.

Why You Should Learn Data Science?

There are numerous benefits of doing the Data Science Course as Data Science is a very lucrative career. Here are a few reasons to learn Data Science:

High Demand & Salaries: Data Scientists earn an average of INR 10-25 LPA in India.

Job Security: Data-driven decision-making is the future of business.

Diverse Career Paths: Work in finance, healthcare, retail, marketing, and more.

Exciting Challenges: Solve real-world problems with cutting-edge technology.

Still wondering if data science is for you? Even non-programmers can learn with the right training!

Course Curriculum

Module 1 (16 Hours): Introduction to Statistics

What is Data Science?
Mean
Outlier
Median
Mode
Skew
IQR
Sample variance
Standard Deviation
Z Score
Interpreting various graph formats:
- Dot Plot,
- Histograms,
- Box and Whisker,
- Scatter Plots.

Module 2 (16 Hours): Introduction to Python

Working with Jupyter Notebook
Python concepts:
- Print function
- Variable
- Loops
  - If
  - For
  - While
Python Data Structures:
- Array
- List
- Tuple
- Dictionary

Module 3 (16 Hours): Analytics using Python

Data cleaning
Data pre-processing
NumPy and Pandas Python Libraries
Data visualization using Bokeh and Plotly
Data Analytics with Python
Case studies
Project

Module 4 (16 Hours): Power BI

Introduction to Power BI
Power BI Interface and Navigation
Connecting to Data Sources
Data Cleaning and Transformation
Advanced Transformations in Power Query
Data Modeling Fundamentals
DAX (Data Analysis Expressions) Basics
Advanced DAX Functions
Creating Basic Visuals
Advanced Visualizations
Mapping and Geospatial Visualizations
Custom Visuals and App Store
Designing Dashboards
Dashboard Interactivity
KPI Dashboards
Publishing and Sharing Reports
Collaborating in Power BI Service
Scheduled Refresh and Data Management
Advanced DAX and Calculations
Performance Optimization
Row-Level Security (RLS)
Case Studies

Module 5 (16 Hours): SQL

Introduction to Databases
What is SQL?
Installing MySQL
Creating the Databases
The SELECT Statement
The SELECT Clause
The WHERE Clause
The AND, OR, and NOT Operators
The IN Operator
The BETWEEN Operator
The LIKE Operator
The REGEXP Operator
The IS NULL Operator
The ORDER BY Operator
The LIMIT Operator
Inner Joins
Joining Across Databases
Self Joins
Joining Multiple Tables
Compound Join Conditions
Implicit Join Syntax
Outer Joins
Outer Join Between Multiple Tables
Self Outer Joins
The USING Clause
Natural Joins
Cross Joins
Unions
Column Attributes
Inserting a Single Row
Inserting Multiple Rows
Inserting Hierarchical Rows
Creating a Copy of a Table
Updating a Single Row
Updating Multiple Rows
Using Subqueries in Updates
Deleting Rows
Restoring Databases

Module 6 (16 Hours): Tableau

Introduction to Tableau
Connecting to Data Sources
Data Preparation Basics
Data Blending and Joins
Data Transformation with Tableau Prep
Basic Charts and Visualizations
Formatting Visuals
Tableau’s Show Me Feature
Advanced Charts and Visualizations
Calculated Fields and Table Calculations
Using Filters and Sets
Introduction to Tableau Maps
Advanced Mapping Techniques
Spatial Calculations and Custom Territories
Dashboard Design
Adding Interactivity
Designing Data Stories
Publishing and Sharing Dashboards
Tableau Server and Tableau Online
Exporting and Presentation
Advanced Calculations and LOD Expressions
Performance Optimization
Tableau Extensions and APIs
Case Studies

Module 7 (12 Hours): Advanced Statistics

Introduction to Inferential Statistics
Probability
Random variables
Probability Distribution
Empirical Rule
Convert to Standard Normal Distribution
Z Score
Using Z Table
Hypothesis Testing
Understanding P Value

Module 8 (8 Hours): Advanced Python

Functions
Classes and Objects

Module 9 (26 Hours): Machine Learning

Introduction to machine learning
Cluster Analysis
Association, correlation and covariance
Classification
Linear regression
Logistic regression
Decision Tree
Random Forest
Model evaluation
Support vector machine
Dimensionality reduction
KNN (K- Nearest neighbors)
K-means Clustering
Ensemble Learning
Optimization

Module 10 (26 Hours): Deep Learning

Introduction to Deep learning
Introduction to Artificial Intelligence
Introduction to Deep Learning Module
Deep Learning Model Practical with Tensorflow and Keras
Computer Vision
- Introduction to Convolutional Neural Networks
- Decoding Image Components
- Identifying MNIST using CNN
- Preprocessing Image Data to apply CNN
Natural Language Processing
- Introduction to NLP & Word Vectors
- Decoding a Textual Data
- NLP using Recurrent Neural Networks (RNN)
- NLP using Memory Alterations
Framework – Apache Spark
Map and FlatMap
Transformers, Estimators, and Pipelines
Text Mining
Network Mining
Python Matrix Libraries

Languages and Tools You will Master

Who is Eligible for Data Science Course?

Fresh Graduates- Looking for their first job in tech.
IT & Non-IT Professionals- Wanting a career switch.
Business Analysts & Statisticians- Want to enhance their skill set.
Engineers & Developers- Seeking high-paying opportunities in Artificial Intelligence/ML.

If you have a passion for data, problem-solving, and logical thinking, our Data Science course is for you!

Data Science Course Requirements

Our course is beginner-friendly and requires no programming experience. Here are a few things to have:

Why Choose PyNet Labs?

20+ industry relevant projects

Problem Solving Sessions

Instructor-Led
Live Training

Placement Assistance

Lifetime Access to training recordings

Guaranteed to Run Batches

Post-training Support

Flexible Batch-Timings

Interview Preparation

Career Counselling by Experts

On-Demand classes available

Free Demo Class

What Our Students Say About Us?

Mellissa Correia

I really admire our Network Automation Instructor Chirag's creative approach to lessons and the way he converts complex topics in a very understandable one with a relative ease, he is also very supportive....

Kumar As

It's a very good institute to learn automation. I had no experience programming, but after joining CCNA DEVNET, I am now capable of writing my own python automation scripts. I am grateful to Chirag for his patient....

Steve Kpah

I can say without mincing words that PyNet Labs is a Solid training institute for Networking and Network Automation courses.....a place where You can get the very best.

Ranjith Asam

My experience with PyNetLabs is overwhelming..!
Python Devnet course is very well structured to understand the network automation concepts.
I am new to the world of programming languages and Trainer Mr.Chirag is very helpful....

Anand Sriram

I studied a Python+Devnet automation course and i really enjoyed the session, All the sessions were really good Tutor Chirag was very good in explaining doubts and providing support when we have issues with the LAB, The phase of the course is good....

Aswathy Sreekumari

I am attending Python+ Devnet course from PyNetl Labs. Instructor Mr.Chirag is very informative and the course is well structured. The course covers from basics of python to advanced concepts of network automation. Will surely recommend this....

Abhijeet Agarwal

Python Devnet course taught by Chirag Dhall is quite an informative course . Actually all sessions were very helpful. This helped understand and streamlined the thoughts on Network Automation and Chirag is an amazing teacher, calm and composed. a rare trait.

Mansoor Ali Syed

PyNet Labs is the best place to learn Python, and we got a good instructor(Chirag Dhall)..Good Place to start the Network automation journey..!

Placement Guarantee: How It Works?

Complete the Course & Projects: Gain in-depth knowledge with hands-on practice.
Mock Interviews & Resume Building: Prepare with expert guidance.
Guaranteed Job Referrals: We connect you with hiring companies.
Land Your Dream Job: Secure a high-paying job in Data Science!

What Makes Our Data Science Course Different?

Practical, Hands-On Training: Work on real datasets and industry projects.
Career-Focused Curriculum: Learn job-relevant skills that employers look for.
100% Placement Guarantee: Secure a job in data science or get your money back.
Expert Mentors & Live Doubt Sessions: Get guidance from professionals working in top companies.
Soft Skills & Interview Preparation: Ace technical interviews with mock tests and resume-building sessions.

By the end of our Data Science Course with Placement Guarantee, you won’t just understand data science concepts—you’ll have the confidence to apply them in real-world business scenarios. Plus, with our placement guarantee, you can focus on learning while we help you land a high-paying job in data science.

Book 1:1 Free Counselling Session

Data Science Course(#113)

Name

Mobile

Country

Industry Recognized Data Science Certification

Worldwide Recognition

Get a certification that is recognized worldwide and can open doors to various new opportunities.

Lifetime Validity

Your Certification will be valid
for a lifetime.

Our Students Placed At

Alumni Highlights

Still have any Doubts?

Frequently Asked Questions

Q1. Is this course suitable for beginners?

Yes! Our Data Science course starts from the basics, so you don’t need prior experience. We guide you step by step from fundamental concepts to advanced topics in data science.

Q2. Do I need coding experience to join this course?

No! We teach Python programming from scratch, so even non-technical learners can master data science.

Q3. How does the placement guarantee work?

After successfully completing the course and fulfilling the eligibility criteria, we provide job referrals, mock interviews, resume building, and career guidance to help you land a job. If you don’t get placed within the guaranteed period, we offer a money-back guarantee.

Q4. What salary can I expect after this course?

Entry-level salaries for data science professionals range from INR 6 to 8 LPA, while experienced professionals can earn INR 15 to 25 LPA or more, depending on skills and expertise.

Q5. What is the duration of this course?

The course duration of our Data Science Course with Placement Guarantee is 6 Months, with flexible learning options, including weekday and weekend batches.

Q6. What tools and technologies will I learn?

You will gain hands-on experience with Excel, Python, SQL, Machine Learning, Deep Learning, Tableau, Power BI, TensorFlow, AWS, and Big Data tools used in the industry.

Q7. What kind of projects will I work on?

You will work on real-world projects across industries like finance, healthcare, e-commerce, and marketing, including predictive analytics, fraud detection, and AI-driven solutions.

Q8. Will I receive a certification after completing the course?

Yes! Upon successful completion, you will receive a globally recognized Data Science Certificate, which can boost your resume and LinkedIn profile.

Q9. What kind of job roles can I apply for after completing Data Science course?

You can apply for roles such as:

Data Scientist
Machine Learning Engineer
Data Analyst
Artificial Intelligence Engineer
Business Intelligence Analyst, etc.

Q10. How much time should I dedicate per week to complete this course?

We recommend dedicating 8-12 hours per week for best results. However, we offer flexible learning options so you can learn at your own pace.

Q11. Do you provide placement support if I already have experience in IT or analytics?

Yes! If you’re an experienced professional, we help you upgrade your skills, refine your resume, and connect with better job opportunities in data science.

Q12. What if I miss a class?

No worries! All classes of Our Data Science Course are recorded, and you’ll have lifetime access to the learning materials so you can catch up anytime.

Data Science Course with Placement Guarantee

Data Science Course Overview

Why Choose Our Data Science Course with Placement Guarantee?

Upcoming Batches

Upcoming Batches

What is Data Science?

Why You Should Learn Data Science?

Course Curriculum

Module 1 (16 Hours): Introduction to Statistics

Module 2 (16 Hours): Introduction to Python

Module 3 (16 Hours): Analytics using Python

Module 4 (16 Hours): Power BI

Module 5 (16 Hours): SQL

Module 6 (16 Hours): Tableau

Module 7 (12 Hours): Advanced Statistics

Module 8 (8 Hours): Advanced Python

Module 9 (26 Hours): Machine Learning

Module 10 (26 Hours): Deep Learning

Languages and Tools You will Master

Who is Eligible for Data Science Course?

Data Science Course Requirements

Why Choose PyNet Labs?

20+ industry relevant projects

Problem Solving Sessions

Instructor-Led Live Training

Placement Assistance

Lifetime Access to training recordings

Guaranteed to Run Batches

Post-training Support

Flexible Batch-Timings

Interview Preparation

Career Counselling by Experts

On-Demand classes available

Free Demo Class

What Our Students Say About Us?

Placement Guarantee: How It Works?

What Makes Our Data Science Course Different?

Industry Recognized Data Science Certification

Our Students Placed At

Alumni Highlights

Frequently Asked Questions

Q1. Is this course suitable for beginners?

Q2. Do I need coding experience to join this course?

Q3. How does the placement guarantee work?

Q4. What salary can I expect after this course?

Q5. What is the duration of this course?

Q6. What tools and technologies will I learn?

Q7. What kind of projects will I work on?

Q8. Will I receive a certification after completing the course?

Q9. What kind of job roles can I apply for after completing Data Science course?

Q10. How much time should I dedicate per week to complete this course?

Q11. Do you provide placement support if I already have experience in IT or analytics?

Q12. What if I miss a class?

Instructor-Led
Live Training