Data Science Course In Ahmedabad
Best Data Science Course With Placement Assistance
Upgrade your Data Science Skillset with our Data Analyst courses in Ahmedabad!
Trained 15000+ Students | Course duration: 40 hours | Real-time Project Execution | Certification exam after course completion | Basic to advanced level learning |
Key Features
Course Duration : 8 Weeks
Live Projects : 1
Online Live Training
EMI Option Available
Certification & Job Assistance
24 x 7 Lifetime Support
Our Industry Expert Trainer
We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.
Overview of Data Science Training Course in Ahmedabad
Our Data Science course in Ahmedabad is designed for individuals aspiring to pursue careers in data science and analytics. Whether you’re looking to become a data scientist, data analyst, or want to gain a deeper understanding of data analysis, our program covers everything. With a curriculum that blends theoretical knowledge with hands-on practice, students will master essential skills in data analysis, data visualization, and machine learning.
At 3RI Technologies, we take pride in being a leading data science training institute. Our data science courses in Ahmedabad offer an in-depth look into real-world applications of data science, preparing you for the challenges ahead. We also provide specialized data analytics courses in Ahmedabad to ensure that our students are ready for roles in the rapidly evolving data landscape.
Our data science course with Placement assistance ensures that you are equipped not only with the skills but also with the job placement support to launch your career. Our data science placements program connects you with top companies, helping you transition seamlessly into your new career as a certified data scientist or data analyst.
Enroll today and take the first step toward securing your future in the exciting field of data science!
There are a variety of data science courses offered by 3RI in Ahmedabad that prepare students for a variety of work careers in Data Science and other trending fields. Here you will find everything you need to get started in a career in Data Science. Data Science training at 3RI Technologies is regarded as one of the data science courses in Ahmedabad. Thousands of Data Science professionals in India and abroad have built their careers with us. Training to Job Placement – that’s what we do best. Assisting you until you find a job is what we do best. The expert trainers will assist you with learning the concepts, completing assignments, and completing live projects.
Who is eligible to apply?
- The Information Architect and the Statistician
- Those interested in mastering predictive analytics and machine learning
- IT professionals with experience in big data, business analysis, and business intelligence
- A candidate who wants to pursue a career as a Machine Learning Expert, Data Scientist, etc.
Learning Journeys tailored to your needs
With regards to course duration, timing, and more, select the program that fits your specific needs. Learn in a way that caters to your individual needs with the utmost flexibility.
Experiential Learning with Hands-on Experience
Work on Data Science projects in real-time and participate in several lab sessions.
Support dedicated to your program
Take advantage of dedicated mentorship from highly skilled professionals who can help you navigate your way to a successful career in Data Science.
Developing curriculum that drives business outcomes
A comprehensive curriculum designed to provide knowledge and expertise to the candidates.
Cohort Based Pedagogy
Get to know Data Science tools and techniques in a collaborative learning environment.
Learning Analytics
Acquire expertise in one of the best skills in the market today by mastering analytical tools.
Learning the core technology frameworks used to analyze big data is essential for mastering the field of data science. This course teaches you about developmental and programming frameworks like Hadoop and Spark for processing massive amounts of data in an environment of distributed computing, and teaches you complex data science algorithms and how to implement them in R, the preferred statistical language. Utilizing data visualization platforms such as Tableau, you’ll be able to discover insights from the data. The course will introduce you to the latest machine learning technologies after you master data management and predictive analysis techniques. You will be able to master a broad range of data science and big data technologies through the course.
Data Scientists are part of a modern trend that makes the world adapt to the latest trends. Today’s youth are starting to consider it as one of their top career options. Every organization, from multinational corporations to small startups, requires a Data Scientist to properly utilize the huge amounts of data they generate and store. Today and in the future, Data Science has a wide range of applications. Data Science is largely unknown as a career option and is even a little mystifying to most people.
Providing health care
Because healthcare creates a lot of data every day, there is a huge demand for data scientists in the industry. It would be impossible for an unprofessional candidate to handle such a massive amount of data. Hospitals need to keep records of patients’ medical histories, bills, and employees’ personal information. In the medical sector, data scientists are being hired to improve the quality and safety of patient data.
Sector of Transport
For a data scientist to analyze the data collected by ticketing systems, asset management systems, location systems, fare collection systems, and passenger counting systems, the transport sector needs a data scientist.
E-commerce
Due to data scientists, the e-commerce industry has exploded because they analyze data and provide users with personalized recommendations.
Furthermore, the data scientist course in Ahmedabad has had a significant impact on medical science as well. Medical Image Analysis, Genomics, Remote Monitoring, and Drug Development were found to be useful from the analytics and requisition. Indian businesses and organizations are going online. Indian data centers are the second-largest in the world. Approximately 11 million jobs will be available by 2026, according to analysts.
Skills Required
- No Prerequisites for Data Science certification training
- Basic knowledge of SQL is advantageous
Data Science Course Syllabus
Decade Years Legacy of Excellence | Multiple Cities | Manifold Campuses | Global Career Offers
- Fundamentals of Data Science and Machine Learning
- Introduction to Data Science
- Need of Data Science
- BigData and Data Science’
- Data Science and machine learning
- Data Science Life Cycle
- Data Science Platform
- Data Science Use Cases
- Skill Required for Data Science
- Mathematics For Data Science
- Linear Algebra
- Vectors
- Matrices
- Optimization
- Theory Of optimization
- Gradients Descent
- Introduction to Statistics
- Descriptive vs. Inferential Statistics
- Types of data
- Measures of central tendency and dispersion
- Hypothesis & inferences
- Hypothesis Testing
- Confidence Interval
- Central Limit Theorem
- Probability and Probability Distributions
- Probability Theory
- Conditional Probability
- Data Distribution
- Distribution Functions
- Normal Distribution
- Binomial Distribution
- An Introduction to Python
- Why Python , its Unique Feature and where to use it?
- Python environment Setup/shell
- Installing Anaconda
- Understanding the Jupyter notebook
- Python Identifiers, Keywords
- Discussion about installed module s and packages
- Conditional Statement ,Loops and File Handling
- Python Data Types and Variable
- Condition and Loops in Python
- Decorators
- Python Modules & Packages
- Python Files and Directories manipulations
- Use various files and directory functions for OS operations
- Python Core Objects and Functions
- Built in modules (Library Functions)
- Numeric and Math’s Module
- String/List/Dictionaries/Tuple
- Complex Data structures in Python
- Python built in function
- Python user defined functions
4. Introduction to NumPy
- Array Operations
- Arrays Functions
- Array Mathematics
- Array Manipulation
- Array I/O
- Importing Files with Numpy
5. Data Manipulation with Pandas
- Data Frames
- I/O
- Selection in DFs
- Retrieving in DFs
- Applying Functions
- Reshaping the DFs – Pivot
- Combining DFs
Merge
Join - Data Alignment
6. SciPy
- Matrices Operations
- Create matrices
Inverse, Transpose, Trace, Norms , Rank etc - Matrices Decomposition
Eigen Values & vectors
SVDs
7. MatPlotLib & Seaborn
- Basics of Plotting
- Plots Generation
- Customization
- Store Plots
8. SciKit Learn
- Basics
- Data Loading
- Train/Test Data generation
- Preprocessing
- Generate Model
- Evaluate Models
9. Descriptive Statistics
. Data understanding
- Observations, variables, and data matrices
- Types of variables
- Measures of Central Tendency
- Arithmetic Mean / Average
- Merits & Demerits of Arithmetic Mean and Mode
- Merits & Demerits of Mode and Median
- Merits & Demerits of Median Variance
10. Probability Basics
- Notation and Terminology
- Unions and Intersections
- Conditional Probability and Independence
11. Probability Distributions
- Random Variable
- Probability Distributions
- Probability Mass Function
- Parameters vs. Statistics
- Binomial Distribution
- Poisson Distribution
- Normal Distribution
- Standard Normal Distribution
- Central Limit Theorem
- Cumulative Distribution function
12. Tests of Hypothesis
- Large Sample Test
- Small Sample Test
- One Sample: Testing Population Mean
- Hypothesis in One Sample z-test
- Two Sample: Testing Population Mean
- One Sample t-test – Two Sample t-test
- Paired t-test
- Hypothesis in Paired Samples t-test
- Chi-Square test
13. Data Analysis
- Case study- Netflix
- Deep analysis on Netflix data
- Exploratory Data Analysis
- Data Exploration
- Missing Value handling
- Outliers Handling
- Feature Engineering
- Feature Selection
- Importance of Feature Selection in Machine Learning
- Filter Methods
- Wrapper Methods
- Embedded Methods
- Machine Learning: Supervised Algorithms Classification
- Introduction to Machine Learning
- Logistic Regression
- Naïve Bays Algorithm
- K-Nearest Neighbor Algorithm
- Decision Tress
- SingleTree
- Random Forest
- Support Vector Machines
- Model Ensemble
- Model Evaluation and performance
- K-Fold Cross Validation
- ROC, AUC etc…
- Hyper parameter tuning
- Regression
- classification
- Machine Learning: Regression
- Simple Linear Regression
- Multiple Linear Regression
- Decision Tree and Random Forest Regression
- Machine Learning: Unsupervised Learning Algorithms
- Similarity Measures
- Cluster Analysis and Similarity Measures
- Ensemble algorithms
- Bagging
- Boosting
- Voting
- Stacking
- K-means Clustering
- Hierarchical Clustering
- Principal Components Analysis
- Association Rules Mining & Market Basket Analysis
- Machine Learning end to end Project blueprint
- Case study on real data after each model.
- Regression predictive modeling – E-commerce
- Classification predictive modeling – Binary Classification
- Case study on Binary Classification – Bank Marketing
- Case study on Sales Forecasting and market analysis
- Widespread coverage for each Topic
- Various Approaches to Solve Data Science Problem
- Pros and Cons of Various Algorithms and approaches
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Who can apply for the course?
- Aspiring Data Scientists who are interested in switching careers.
- Graduate/post-graduate students wishing to pursue their careers in Data Analytics/Data Science.
- Professionals who work with big data.
- Professionals from non-IT bkg, and want to establish in IT.
- Candidate who would like to restart their career after a gap.
- Machine learning is a topic of interest to professionals.
- Business analysts and those who work with data
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Industry Projects
Learn through real-life industry projects sponsored by top companies across industries
- Project Implementation with Real-Time Scenario.
Dedicated Industry Experts Mentors
Receive 1:1 career counselling sessions & mock interviews with hiring managers. Further your career with our 300+ hiring partners.
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