Data Science Course with Placement Guarantee

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

10+ Projects

12+ Tools

20+ Case Studies

10+ Modules Covered

500+ Hiring Partners

Average Salary 6 LPA

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 12th 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

12

Download Course Outline


Enquire Now

Upcoming Batches

Data Science Course

DATE

Batch 1
Weekends Batch
(Saturday & Sunday)
Starting from 12th 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

12

Download Course Outline


Enquire Now

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:

• Love for Mathematics (Otherwise, It is not for you)
• Logical Thinking
• Curiosity for Data

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

Enquire Now

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

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?

Talk to Our Counsellor

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.