Data Science Certification programs and Machine Learning are the hottest skills in demand” but wait it’s challenging too to learn.
Today Data Science and Machine Learning are used in almost all industries, including automobile, banking, healthcare, media, telecom, and others.
As Data Science and Machine Learning practitioners, you will have to research and look beyond normal problems, you may need to do extensive data processing. experiment with the data using advanced tools and build amazing solutions for business. However, where and how are you going to learn these skills required for Data Science and Machine Learning?
Data Science and Machine Learning require in-depth knowledge of various topics. Data Science is not just about knowing certain packages/libraries and learning how to apply them. Data Science and Machine Learning require an in-depth understanding of the skills:- Basic to Advanced Excel, My SQL / SQL Server, Tableau, Python, and R Language.
Batch Start Date | Location | Upcoming Slots | Timings | Enrollments Status |
---|---|---|---|---|
13th Jul'25 | Online & Offline | Sold Out SAT & SUN | 2:00 PM - 4:00 PM | Closed |
20th Jul'25 | Online & Offline | Filling Fast⚡ SAT & SUN Weekend batch | TBD | Registration Open |
27th Jul'25 | Online & Offline | SAT & SUN Weekend Batch | TBD | Registration Open |
For the curriculum, you will cover in this course, click on the tab to check the detailed content
Data Analytics
17,641/-
Data Science with Python
24,190/-
Machine Learning.
21,240/-
R Programming
18,880/-
81,951/-
Module 1:- Getting Started with My SQL
Module 2:- My SQL Fundamentals
Module 3:- Creating Database & Tables
Module 4:- My SQL Functions & Clause
Module 5:- Multiple Tables & Joins
Module 6:- Transactions, Stored Routines & Triggers
Bonus Modules
Module 7:- Geographical Visualization
Module 1:- Installing & Running Python
Module 2:- Python Introduction
Module 3:- Python Syntax ,Keywords and Operators
Module 4:- Expressions, Statements, Variables, Strings
Module 5:- Python Data Types: List,Tuples,Dictionaries
Module 6:- Making Decisions – if Statements
Module 7:- Loop Control
Module 8:- Iterators
Module 9:- Functions And Scopes
Module 10:- Modules and Packages
Module 11:- File I/O
Module 12:- Error And Exceptional Handling
Module 13:- Regular Expression
Module 14:- Introduction to Data Science and Machine Learning
Module 15:- Tools & Languages available
Module 16:- Numpy
Module 17:- Pandas, Matplotlib and Seaborn
Pandas
Matpolib
Seaborn
Module 18:- Exploratory Data Analysis
Module 1: Introduction to Artificial Intelligence and Machine Learning
Module 2: Python Programming for Machine Learning
Module 3: Mathematics for Machine Learning
Module 4: Supervised Learning
Module 5: Unsupervised Learning
Module 6: Feature Engineering and Model Selection
Module 7: Introduction to Neural Networks
Module 8: Deep Learning Frameworks
Module 9: Natural Language Processing (NLP)
Module 10: Reinforcement Learning
Module 11: Machine Learning in Practice
Module 12: Capstone Project
Module 13: Emerging Trends and Future Directions
Resources:
Module 1:- Getting Started With R
Module 2:- Programming with R
Module 3:- Objects in R
Module 4:- Manipulating Data
Module 5:- Start Visualizing Data
Module 6:- Projects & Assignments
✔️ 98 Hrs – 100 Hrs / 50 Sessions
✔️ Per Session for 2 Hours
✔️ Practice Hours
We have included real-life examples and case studies in our course. Complete written notes and code for you to read and refer
Projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply your learning.
In a set of the time period, you will be having access to getting support from our expert
After completing your course, we will provide you with a Course Completion Certificate
You will get 100% job assistance according to your CTC, Experience and Present skills
Need more details about the course, let’s connect with our experts
Let’s Get Our Expert’s Guidance
Data science is a rapidly growing, highly sought-after career path for skilled professionals. To be successful in this field, data scientists must have more than just the traditional skills of analyzing large quantities of data and programming; they must also understand the entire data science life cycle and possess an adequate level of adaptability to maximize returns at each stage of the process.
Companies are increasingly prioritizing candidates with strong skills in data science, specifically Python. Professionals who possess advanced knowledge of automation using Python, Machine Learning, Power BI, and Tableau are highly desirable as many organizations rely heavily on these programs for data analysis and visualization.
Data Science has been ranked the top job on Glassdoor and boasts an impressive average salary of $120,000 in the United States according to Indeed! Data Science is a highly rewarding career path that enables one to solve some of the world’s most fascinating problems.
Those who are interested in Data Science and wants to start their career as Data Scientist. Anyone who is particularly interested in big data, machine learning, and data intelligence
Of course, you can learn Python without having any coding background. We start Python learning from scratch so that we can build a strong fundamental of the application and at an advanced level you can grasp it easily. And obviously, you need a lot of practice to be a pro.
Though we have so many reasons to join us, let us highlight the main points:-
Yes, of course, you will be getting “Completion Certificate”
Learn how to write professional Python code like a professional Python developer.
Embrace simplicity and develop good programming habits.
Improve your Python code with formatters and linters
Extract information from existing websites using web scraping.
Learn to interact with REST APIs to fetch data from other web applications.
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!
Learn Data Analytics, Power BI, Tableau, & Advance Excel with hands-on training & 100% job assistance.
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