Start your data science journey with our Data Science Full Stack Fresher Program! Designed for beginners, this in-depth course covers Core Python, Machine Learning, Deep Learning, and Artificial Intelligence, along with essential tools and technologies. Through hands-on learning and real-world projects, you’ll gain the skills required for entry-level Data Science Full Stack Developer roles. Join us to fuel your passion for data science and discover exciting opportunities in this rapidly evolving field!
Data Science Full Stack Course
4.50
(5236)
Download Syllabus PDF
DURATION
4 Months
Mode
Live Online / Offline
EMI
0% Interest
Let's take the first step to becoming an expert in Data Science Full Stack Course
Click Here to Get Started
100% Placement
Assurance
What this Course Includes?
- Technology Training
- Aptitude Training
- Learn to Code (Codeathon)
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interview
- Unlimited Interviews
- Life Long Placement Support
Want more details about the Data Science Full Stack Course?
Fill out the form, and our counsellors will get in touch with you at your preferred time. You can have all your queries answered. Once you decide that SLA is the perfect fit for your training needs, our counselors will guide you through the process every step of the way.
Course Schedules
Course Syllabus
Course Fees
or any other questions...
Breakdown of Data Science Full Stack Course Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
December 2024
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
Course Fee
December 2024
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
Learn More
Syllabus for The Data Science Full Stack Course
Download Syllabus
CORE PYTHON
- Python Introduction & history
- Color coding schemes
- Salient features & flavors
- Application types
- Language components (variables, literals, operators, keywords…)
- String handling management
1. String operations – indexing, slicing, ranging
2. String methods – concatenation, repetition, formatting
3. Supporting functions - Native data types
1. List
2. Tuple
3. Set
4. Dictionary - Decision making statements
1. If
2. If…else
3. If…elif…else - Looping statements
1. For loop
2. While loop - Function types
1. Built-in functions
2. Math functions
3. User defined functions
4. Recursive functions
5. Lambda functions - OOPs
1. Classes and objects
2. __init__ constructor
3. Self-keyword
4. Data abstraction
5. Data encapsulation
6. Polymorphism
7. Inheritance - Exception handling
1. Error vs exception
2. Types of error
3. User defined exception handling
4. Exception handler components
5. Try block, except block, finally block - File handling
1. How to create a txt file using python
2. File access modes
3. Reading and writing data to a txt file
4. Data operations
DATA SCIENCE PHASE 1
- Working with PANDAS & NUMPY
1. PANDAS – data analysis intro
2. PANDAS – data structures
3. Series creation types
4. Data Frame creation types
5. Accessing data from Series and DataFrame
6. Data merging - Working with PANDAS & NUMPY
1. Data mapping
2. Finding duplicates
3. Removing duplicates
4. Describing data
5. Finding null values
6. Group by function
7. Sort values
8. Statistical functions
9. Reading and writing data from CSV
10. Data operations on CSV file
11. Basic visualizations
12. NUMPY array processing intro
13. Types of ndarray - Numpy attributes
1. ndim
2. shape
3. size
4. type - Shape manipulations
1. Ravel
2. Reshape
3. Resize
4. Hsplit
5. Vstack - Numpy additional functions
1. Tile
2. Eye
3. Zeros
4. Ones
5. Diag
6. arange
7. New axis addition
8. Random number generation
DATA SCIENCE PHASE 2
- Data science terminologies
- Exploratory data analysis intro
- Types of machine learning algorithms
- Classification and regression intro
- Prediction and analysis techniques to be used in ML
- MATPLOTLIB – data visualization
1. Histogram
2. Pdf
3. Adding axes
4. Adding grid
5. Adding label
6. Adding ticks
7. Setting limits
8. Adding legend - MATPLOTLIB plotting
1. Bar chart
2. Pie chart
3. Heat map
4. Box plot
5. Scatter plot
6. 3d plot - SEABORN – advanced color palette visualization
1. Bar chart
2. Pie chart
3. Dist plot
4. Pair plot
5. Reg plot
6. Count plot
7. Swarmplot
8. Heat map
9. Scatter plot
10. Lm plot
EDA – MACHINE LEARNING –WORKING WITH SCIKIT-LEARN
- Machine learning algorithm types
1. Supervised learning
2. Unsupervised learning
3. Ensemble learning technique - Working flow of dataset
1. Loading necessary modules
2. Loading dataset
3. Feature scaling
4. Feature extraction
5. Data standardization
6. Data normalization
7. Data manifesting
8. Model creation
9. Fitting data models
10. Model prediction - ML algorithms with live demo and mathematical intuition
1. Linear regression
2. Logistic regression
3. Naïve bayes classifier
4. KNN (K nearest neighbor)
5. KMC (K means clustering)
6. Support vector machines
7. Principal component analysis
8. Decision tree
9. Random forest
10. XGBoost
DEEP LEARNING & AI
- Neural networks introduction
- Brain activation functions and layer components
- Neural network terminologies of ANN, CNN, RNN
1. Models
2. Initializers
3. Optimizers
4. Layers
5. Activation functions
6. Loss functions
7. Metrics
8. Model compilations
9. Model evaluation
10. Max pooling layers
11. Edge filters
12. Back propagations
13. Early stopping
14. Epoch - Datasets to be used for MLP,ANN, CNN,RNN
1. Boston house prediction
2. CIFAR10
3. CIFAR100
4. MNIST
5. FASHION MNIST
6. IMDB Movie review analysis - NLP (Natural Language Processing)
1. NLTK
2. NLTK
3. SPACY - COMPUTER VISION
1. Digital Image Processing using CV2 library
2. LIVE PROJECTS
Objectives of Learning Data Science Full Stack Course
Download Syllabus
- Learn Core Python for a strong programming foundation.
- Understand Machine Learning algorithms and their uses.
- Explore Deep Learning and its practical applications.
- Discover Artificial Intelligence and its real-world uses.
- Get hands-on with essential data science tools like Numpy, Pandas, Matplotlib, and Seaborn.
- Gain practical experience through real-world projects.
Reason to choose SLA for Data Science Full Stack Course
- SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
- Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
- Instructor led Online and Offline Training. No recorded sessions.
- Gain practical Technology Training through Real-Time Projects.
- Best state of the art Infrastructure.
- Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
- In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
- Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
- Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
- Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
- Panel Mock Interviews
- Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
- Unlimited Interview opportunities until you get placed.
- 1000+ hiring partners.
- Enjoy Lifelong placement support at no cost.
- SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
- Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Want to Speak to a Trainer about Data Science Full Stack Course?Request a Free Callback
Highlights of The Data Science Full Stack Course
What is the Data Science Full Stack Developer course?
The Data Science Full Stack Developer course teaches you all the skills you need for a career in data science. You’ll learn Core Python, Machine Learning, Deep Learning, and Artificial Intelligence, as well as the tools and technologies used in the field. Through hands-on projects, you’ll gain the experience needed for entry-level roles in data science. The course is designed to spark your interest in data science and prepare you for success in this fast-growing field.
What are the reasons for learning Data Science Full Stack Developer?
There are several compelling reasons to learn Data Science Full Stack Developer:
- Abundant Career Options: Data Science Full Stack Developers are highly sought-after, with diverse job opportunities in various sectors.
- Adaptable Skills: These skills can be applied across different areas of data science, such as analysis, machine learning, and big data handling.
- Lucrative Salaries: Data Science Full Stack Developers often earn competitive pay due to their specialized expertise and high demand.
- Intellectually Stimulating: Developers tackle complex challenges using data, making their work engaging and innovative.
- Meaningful Impact: By analyzing data, developers contribute significantly to business decisions and strategies.
- Promising Future: With the growing reliance on data-driven insights, the demand for these developers is expected to continue rising, providing ample career growth opportunities.
What are the prerequisites for learning Data Science Full Stack Developer?
The Data Science Full Stack Developer course is open to all freshers interested in Data Science, without any prerequisites. It’s suitable for recent graduates or professionals looking for a career change. The course provides the essential skills and knowledge needed to succeed in Data Science, regardless of your background.
What are the course fees and duration?
The fees for our Data Science Full Stack Developer Job Seeker Program vary based on the program level (basic, intermediate, or advanced) and the course format (online or in-person). On average, the fees for the Data Science Full Stack Developer Job Seeker Program range from 50,000 INR to 65,000 INR for a duration of 4 months, which includes international certification. For accurate and current information regarding fees, duration, and certification, please reach out to our premier Data Science Full Stack Developer Training Institute directly.
What are some job roles related to Data Science Full Stack Developer?
Some job roles related to Data Science Developer include:
- Data Scientist: Analyzing data to find insights.
- Data Engineer: Building and managing data pipelines.
- Machine Learning Engineer: Developing machine learning models.
- Big Data Developer: Working with large-scale data processing.
- Business Intelligence Analyst: Analyzing data for business decisions.
- Data Analyst: Examining data for trends and reports.
- Data Architect: Designing data management solutions.
- Full Stack Developer: Creating front-end and back-end for data applications.
What is the salary range for a Data Science Full Stack Developer?
As per Ambition Box, a Data Scientist fresher with less than three years of experience earns an average salary ranging from ₹2.5 Lakhs to ₹5 Lakhs per year. A mid-career Data Scientist with 4-9 years of experience earns an average salary of ₹9 Lakhs per year, while an experienced Data Scientist with 10-20 years of experience earns an average salary of ₹15 Lakhs per year.
List a few Data Science Full Stack Development real-time applications.
Data Science Full Stack Development has various real-world applications, including:
- Finance: Using real-time data analysis for detecting fraud in banking transactions and analyzing stock market trends.
- Healthcare: Implementing real-time monitoring systems for patients and providing personalized treatment recommendations.
- E-commerce: Utilizing real-time data for suggesting products to customers and managing inventory effectively.
- Transportation: Employing real-time data for monitoring traffic conditions and optimizing routes for logistics.
- Manufacturing: Implementing real-time quality control measures and predicting maintenance needs for machinery.
Who are our Trainers for The Data Science Full Stack Course?
Our Mentors are from Top Companies like:
- Our trainers have strong educational backgrounds, specializing in computer science, data science, or related fields.
- They possess extensive industry experience, having worked on real-world projects in data science and full-stack development.
- Many trainers hold certifications in data science, machine learning, and full-stack development.
- With a background in teaching, they excel in explaining complex concepts effectively.
- Our trainers specialize in various aspects of data science and full-stack development.
- They are proficient in tools such as Python, R, Java, SQL, and data analysis and visualization tools.
- Dedicated to learning continuously, they keep themselves updated with the latest trends.
- Providing mentorship and guidance, our trainers help students navigate the course and develop their skills.
- Their exceptional communication skills aid in engaging students and facilitating interactive learning sessions.
- Above all, our trainers are passionate about teaching and dedicated to student success.
Want to Speak to a Trainer about Data Science Full Stack Course?Request a Free Callback
What Modes of Training are available for Data Science Full Stack Course?
Offline / Classroom Training
A Personalized Learning Experience with Direct Trainer Engagement!
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
Instructor Led Live Training! Learn at the comfort of your home
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
Blended Delivery model (both Online and Offline as per Clients’ requirement)
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
Want to Master your Skills in Data Science Full Stack Course?GET Free Consultation
Certifications
Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with an IBM Certification
Get an IBM certification through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.
Project Practices for The Data Science Full Stack Course
Marketing Analytics
Analyzing customer behavior to optimize marketing strategies and improve campaign performance
Energy Management
Optimizing energy usage in buildings and industries through data analytics and IoT technologies
E-commerce Personalization
Utilizing customer data to provide personalized recommendations and improve the shopping experience
Environmental Monitoring
Using IoT devices and data analytics to monitor environmental parameters and track changes over time.
Transportation and Logistics
Utilizing data analytics to optimize routes, reduce delivery times, and improve overall efficiency in transportation and logistics
Manufacturing Optimization
Using data analytics to optimize production processes, reduce downtime, and improve product quality.
Agriculture
Using data science to optimize crop yield, monitor soil health, and manage water resources efficiently
Cybersecurity
Using data analytics to detect and respond to cybersecurity threats in real-time.
Insurance Risk Assessment
Using machine learning models to assess insurance risks and determine premiums accurately.
Learn Data Science Full Stack Course with Real-time ProjectsRequest a Free Callback
The SLA way to Become
a Data Science Full Stack Course Expert
Enrollment
Technology Training
Coding Practices
Realtime Projects
Realtime Projects
Placement Training
Aptitude Training
Interview Skills
Interview Skills
Panel Mock
Interview
Unlimited
Interviews
Interview
Feedback
100%
IT Career
Google Reviews
Rating
4.8
1,053 Google reviews
Ganesan Vasu
I'm from non-IT background, but always wanted to be in IT, SLA make my dream true and I don't know how many will see this…
Click here for Full Review
Hari Krishnan
I am from Mechanical background. I have no command over programming before joining SLA Such a wonderful place to learn and achieve your goals.Having wonderful…
Click here for Full Review
Venkatesh
I joined SLA for python course one year back, and i got selected as software developer with decent salary, with after one year of experience,…
Click here for Full Review
Aswin Pandiyan
It's my genuine review i searched many institutes to do software testing course and finally landed in SLA. My counselor Bala backed me and my…
Click here for Full Review
Discover What Our Students Have To Say
See More ReviewsPlacement Support for a Data Science Full Stack Course
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
Aptitude Training
from Day 1
Interview Skills
from Day 1
Softskills Training
from Day 1
Build Your Resume
Build your LinkedIn Profile
Build your GitHub
digital portfolio
Panel Mock Interview
Unlimited Interviews until you get placed
Life Long Placement Support at no cost
Unlock Career Opportunities with our Placement TrainingRequest a Free Callback
FAQs for
The Data Science Full Stack Course
What is SLA’s Job Seeker program?
1.
SLA’s Job Seeker program is designed to help freshers enter the IT industry quickly. The program offers a syllabus tailored for each fresher, based on the expectations of IT clients. It focuses on providing a combination of technologies in full-stack development, which enhances the fresher’s chances of securing a job in IT.
Does data science have future?
2.
Yes, data science has a bright future. As businesses and industries generate more data, the demand for skilled data scientists will increase. Data science is already used in various fields and with advancements in technology, its role will become more crucial in decision-making and innovation.
What skills are required for data scientist?
3.
Data scientists need to be skilled in programming languages like Python, R, and SQL, and have a good understanding of statistics and machine learning. They should also be adept at cleaning and organizing data, visualizing data effectively, and have knowledge of the industry they work in. Strong problem-solving, communication, curiosity, and creativity are also essential skills.
What does a data scientist do?
4.
A data scientist analyzes data to find useful information and solve problems. They use statistics, machine learning, and programming to clean, process, and study large datasets. Data scientists also create visualizations and share their findings with others to help organizations make decisions based on data.
Is data science need coding?
5.
Yes, data science requires coding skills. Data scientists use programming languages like Python, R, and SQL to clean, process, analyze, and visualize data. Coding is essential for data scientists to manipulate data, build machine learning models, and extract insights from datasets.
What is the salary of full stack data scientist?
6.
The salary for a full-stack data scientist can differ based on variables like experience, location, and the company. However, on average, a full-stack data scientist with less than three years of experience can earn around 3 lakhs per annum. With increasing experience and expertise, their salary has the potential to rise substantially.
Does SLA offer any certification or badge for Data Science Full stack developer Jobseeker program?
7.
Yes, SLA offers IBM-accredited certifications upon successful completion of their Java Full stack developer training course.
How does the placement team at SLA support us?
8.
The placement team at SLA enhances your job prospects by providing comprehensive support. Whether you’re a certified student looking to switch careers or entering the workforce for the first time, you’ll receive extensive assistance through our placement services. SLA offers the following premium services as part of our placement support:
- Resume building
- Career guidance and advising
- Interview practice sessions
- Career expos
What methods of payment are available?
9.
We accept all major payment methods. Cash, debit cards, credit cards (including Master, Visa, and Maestro), net banking, UPI, etc.
I have more queries?
10.
Please contact our course counselor by call or Whatsapp at +91 86818 84318. As an alternative, you can use our Website chat, Website form, or email us at [email protected].
Additional Information for
The Data Science Full Stack Course
Our Data Science Full Stack Training has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates.. Our Data Science Full Stack course syllabus will teach you topics that no other institute will teach. Enroll in our Data Science Full Stack training to explore some innovative Top project ideas for the Data Science Full Stack Course.
1.
Promising Career Paths
The Data Science Full Stack Developer Program offers bright career opportunities. With businesses increasingly relying on data-driven decisions, there’s a growing demand for professionals skilled in both data science and full-stack development. Graduates can explore roles like data scientist, data engineer, or full-stack developer, among others, thanks to the program’s comprehensive curriculum and hands-on learning.
2.
Adaptability Across Industries
This program’s versatility is a big plus, as data science and full-stack development skills are valuable in various industries. Graduates can work in finance, healthcare, e-commerce, and more, giving them the flexibility to switch between industries as their interests evolve. Real-world projects ensure they’re well-prepared for diverse job markets.
3.
Continuous Learning and Growth
The Data Science Full Stack Developer Program lays a strong foundation for lifelong learning and career advancement in the tech field. By mastering data science techniques, programming languages, and full-stack tools, graduates can adapt to new technologies. Emphasizing ongoing learning, the program prepares graduates to thrive in a dynamic tech landscape.
Related Blogs for
The Data Science Full Stack Course
Data Science Full Stack Developer Challenges
Published On: October 16, 2024
Data Science Full Stack Developer Challenges It is imperative for data scientists to proficiently convey…
Data Science Full Stack Tutorial
Published On: July 12, 2024
Data Science Full Stack Tutorial The exciting topic of data science is knowledge and insight…
Data Science Full Stack Developer Project Ideas
Published On: July 3, 2024
Are you interested in exploring Data Science Full Stack Developer Project Ideas? These projects blend…
Top 14 Data Science Full Stack Developer Interview Questions and Answers
Published On: April 8, 2024
Data Science Full Stack Developer Interview Questions and Answers The Data Science Full Stack Developer…