Data Science Course
Earn industry-recognised certificates with our Data Science Course in India and unlock high-growth careers. Master Python, SQL, Machine Learning, and AI through hands-on projects and case studies. Build expertise in data analysis, visualization, and predictive modeling while receiving dedicated job assistance. Designed to prepare you for roles like Data Scientist, Business Analyst, or ML Engineer across IT, BFSI, Healthcare, and E-commerce.
Overview
This Data Science course offers a structured learning path covering Python, R, SQL, Machine Learning, AI, and Tableau. Explore data cleaning, analysis, visualization, and predictive modeling through hands-on projects and real-world case studies. The course emphasizes practical application of skills, helping you solve business problems, uncover insights, and build a strong foundation in data-driven workflows across industries.
Key Features
Online/Offline Classes
100% Job Assistance
Real-World Projects
Access To Course Videos
Interactive Doubt Solving Sessions
Mentor Support
Tools and Technologies Covered
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Data Analysis
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Database Management
Course Curriculum
Start your Data Science journey with Database Management Systems (DBMS) and Digital Reporting. Learn to manage and clean data efficiently.
Tools Covered: Excel (Basic & Advanced), SQL, Python, GitHub, Azure, AWS, GCP
Master Digital Reporting and Data Visualization to turn complex datasets into actionable insights.
Tools Covered: Tableau, Power BI, Alteryx
Strengthen your analytical skills with Advanced Quantitative Analytics to work with complex datasets.
Tools Covered: SAS, Python, Advanced Excel
Learn to build predictive models and use AI techniques to solve real-world problems.
Tools Covered: Python, R, TensorFlow, Scikit-learn
Develop project management skills for analytics projects, including planning, tracking, and delivery.
Tools Covered: JIRA, Trello, MS Project, GitHub, Asana
Projects Included In This Course
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Lorem Ipsum has been the industry standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Why Enroll In Our Data Science Course?
Up To Date Curriculum
Our course curriculum is designed by industry experts, matches top multinational company requirements for a comprehensive and up-to-date learning experience.
Assured Placement
Benefit from a 98% placement rate with our students securing positions in leading companies like Amazon, Flipkart, Cognizant, KPMG, and more .
100% Job Assistance
Receive comprehensive career support, including resume building, mock interviews, networking guidance, and recruitment drives.
Real-World Projects
Gain practical experience through real-world data analytics projects at Dhibrahm Analytics, understanding how things work in the field.
Expert Instructors
Learn from top experts from IITs and industry professionals, providing the exact knowledge companies seek. Their experience guides you on what to focus on.
24/7 Personal Mentors
We have a dedicated mentor available 24/7 to assist with questions or problems you may encounter during your learning journey.
Flexible Learning
Choose from online, offline, weekend, regular, and various class formats tailored to your convenience. For more details, call us now.
Flexible Payment Plans
We offer EMI options for students to pay their fees in installments. If you need any kind of information related to EMI, please contact us via call or email
Soft Skills Emphasis
Recognize the importance of soft skills and communication in data analytics jobs, focusing on developing these alongside hard skills.
FAQs
1. What is data science?
Data science is the field that helps businesses and individuals make decisions based on data. It combines statistics, coding, and business understanding to find useful patterns and trends. With the help of tools and techniques, data scientists collect, clean, and analyze data to draw insights. A good data science course will teach you how to work with structured and unstructured data, build machine learning models, and make sense of complex information. Whether you’re a student, working professional, or fresher, enrolling in a data science online course can help kickstart a rewarding career.
2. What does a data scientist do?
A data scientist works with large volumes of data to find answers to business problems. They gather raw data from different sources like customer records, website activity, and sales reports, then clean and process this data to uncover patterns and trends. Using tools like Python, SQL, and machine learning algorithms, they build predictive models, generate insights, and create dashboards to present their findings. If you’re interested in becoming one, enrolling in a data scientist course or a data science training program can help you learn practical skills and get job-ready.
3. What are some of the coding languages used in data science?
Data science relies heavily on programming to collect clean, analyse, and visualise data. Some of the most widely used coding languages include Python, Pandas, Scikit-learn, R, and SQL. In big data environments, languages like Java or Scala are used. A well-structured course teaches these languages with real projects and exercises. If you’re looking for a data science course to start, make sure they offer Python and SQL training as these are essential for getting hired as a data professional.
4. How much does it take for someone to become a data scientist?
The time it takes to become a data scientist depends on your current skill level and the course format you choose. On average, with consistent effort, one can become job ready in 6 to 12 months by enrolling in a full time data science course with placements. For working professionals, part time or weekend formats may extend the timeline to 12-24 months. The data scientist course fee also varies widely from ₹50,000 to ₹2,50,000 in India depending on course depth, brand, and placement support. Dibrahm’s data science course duration is structured to help you learn step-by-step while getting hands-on experience making it easier to transition into a data role confidently.
5. Is data science a good career option for freshers?
Yes, data science is a great career option for freshers who have a background in math, statistics, programming. As companies increasingly reply on data to make decisions, the demand for entry level data professionals is growing across industries. Many startups and global firms are hiring freshers who have certified data science trading and can work with tools like Python, SQL, and tableau. A beginner friendly data science course is designed to help freshers learn from scratch and build practical skills. With a focus on real projects, expert monitoring, and job placement assistance, Dhibrahm’s data course offers a strong head start for anyone entering the field right after graduation.
6. What are some of the core skills a data scientist needs to know?
A data scientist needs a mix of technical, analytical, and communication skills to succeed in the industry. A good data science course should equip learners with a strong understanding of statistics and mathematics, including topics like probability, regression, and hypothesis testing, which are essential for analysing data accurately. A data scientist must have knowledge in statistics, machine learning, data visualisation and programming. They should also understand how to use tools like excel, python, R, and cloud platforms. A good data science course teaches technical and business skills.
7. What are the career paths one can choose from after completing a data science certification course?
Completing a data science certification course opens the door to a variety of hig-growth roles across industries. Depending on your skills, interests, and project experience, you can pursue careers such as:
Data scientist
Data analyst
Machine learning engineer
Data engineer
Business intelligence analyst
Product analyst or marketing analyst
AI/Deep learning engineer
You can work in industries like:
Healthcare: for predictive diagnostics and patient data analysis
Retail and E-commerce: for recommendation engineer and customer behaviour analytics
Finance and banking: for fraud detection, credit scoring, and risk management
EdTech and SaaS: for product optimization, churn prediction, and user behaviour
Government and policy: for public data analytics and census modeling.
The best data science courses in India provide access to placement cells, resume building workshops, and mock interviews. Whether you are attending their data science classes near me or their data science course online, you’ll get career guidance to choose the best path for you.
8. What is the salary range for individuals working as data scientist in India and US?
In India, a fresher data scientist can earn ₹6–8 LPA, while experienced professional earn ₹15–25 LPA. In the US, entry-level roles start at $85,000 per year and can go up to $130,000 or more with experience. After completing a data science course with placement, you can increase your chances of landing a high-paying job. The best data science courses also offer resume reviews and mock interviews to help you secure these jobs.
9. What is the difference between data science and data analytics?
Data science is about building models, predictions, and using machine learning. It answers “what will happen” based on data. Data analytics focuses on examining existing data to find patterns, it answers “what happened” and “why”. A data science training program often covers both, but focuses more on predictive techniques. If you’re looking for in-depth knowledge, choose a data science course online that includes both analytics and machine learning.
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10. What are the tools covered in this data science course by Dhibrahm?
The data science course offered by Dhibrahm covers a wide range of industry relevant tools to ensure learners are job ready and confident in using professional data science technologies. The course is designed to help learners become industry ready by teaching the most in-demand tools used by data professionals.
Python: Python is the most popular language in data science. You’ll use it for data cleaning, analysis, and machine learning.
SQL: SQL is used to retrieve and manage structured data from databases, It’s essential for any data-driven role.
Excel
Tableau
Power BI
Jupyter Notebook
Scikit-Learn
Pandas
NumPy
Seaborn & Matplotlib
Git & Github
Cloud Basic (AWS/CGP)
Dhibrahm’s data science course in India covers all these tools through a hands-on approach. Whether you’re a beginner or switching careers, this is one of the best data science courses available, with flexible formats. All you have to do is look for data science classes near me, and data science bootcamp options and you will have a starting point. With tool based learning and placement support, it’s ideal for learners looking for a trusted data course that delivers career results.