Data Science
Beginner to Mastery
Combines data analytics with essential tools and techniques.
Provides hands-on experience through real-world projects.
Taught by industry professionals with deep expertise in analytics.
Covers key tools like Python, SQL, Tableau, and Excel.
Group Enrollment with Friends or Colleagues
300 Hours
16 Sept 2025
Live. Online. Interactive.
Opens doors to diverse roles in data analysis, business intelligence, and analytics.
Offers skills that are applicable across various industries and roles.
Keeps you updated with the latest technologies and industry trends.
Opens doors to diverse roles in data and analytics.
Master a wide range of essential tools and techniques, from data analytics to advanced data visualization and statistical analysis.
Acquire highly in-demand skills that boost your employability in today’s competitive job market.
Unlock advanced career opportunities and elevate your earning potential in data analytics, business intelligence, and related fields.
Implement your knowledge through practical projects and real-world case studies focused on data analytics.
16 Sept 2025
30 MINUTE MEETING
Web conferencing details provided upon confirmation.
Corporate Training, Enterprise training for teams
Batch | Batch Type |
---|---|
Online Live Instructor Led Session | Full-Time |
Online Live Instructor Led Session | Part-Time |
Batch | Batch Type |
---|---|
IST (India Standard Time) | 09:00 PM–12:00 AM |
Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM–09:30 PM |
UAE / Oman | 07:30 PM–09:00 PM |
This program helps participants become proficient in data analysis. It includes Advanced Excel, Python, Statistics, SQL, and data visualization using Tableau. By mastering these skills, participants will gain a strong foundation in data management, analytics, and visualization techniques, empowering them to turn raw data into actionable insights.
ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
Enroll Now →The program is aimed at offering essential knowledge in key areas related to data analysis, Python programming, and statistical techniques useful for data-driven decision-making. It emphasizes SQL for database management and Tableau for data visualization. The course is designed to make participants well-versed in data analytics, equipping them with the skills needed to analyze data and generate actionable insights.
Enroll Now →Gain proficiency in R, statistical analysis, and data visualization to effectively explore and understand data.
Develop strong capabilities in data manipulation, database management, and querying using Excel and SQL.
Learn to create compelling visual reports and dashboards to communicate insights effectively.
Get trained in widely used tools and technologies that align with current market needs.
Equip yourself with skills that open pathways to roles such as Data Analyst, Business Analyst, and BI Specialist.
Effectively convey complex information and findings using data visualization techniques.
Leverage analytical skills to contribute to the development of data-driven solutions and insights.
Apply your skills in real-world projects to gain practical experience and build a robust portfolio.
Master essential tools like Advanced Excel, Statistics, Python, SQL & Tableau .
Learn up-to-date practices that match current market demands in data analysis.
Apply knowledge through real-world projects and hands-on exercises for practical experience.
Equip yourself with versatile skills applicable across various industries and sectors.
Develop data visualization expertise to effectively communicate insights and drive decision-making.
Stay ahead with in-demand tools that shape the future of data analytics.
Min
$60,000
Average
$120,000
Max
$150,000
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
WE CAN APPLY FOR JOBS IN
Build in-depth reports and dashboards using Tableau and Excel to efficiently communicate data insights to stakeholders
Collect, clean, and analyze data to extract meaningful insights that inform strategic business decisions.
Develop and optimize SQL queries to maintain performance and accuracy in relational databases.
Apply statistical and analytical methods to identify trends, patterns, or opportunities within datasets.
Provide data-driven insights to support business objectives and decision-making.
Automate routine data processes using Python, enhancing efficiency and reducing manual workloads.
Collaborate with IT, management, and cross-functional teams to implement data-driven solutions.
Stay updated on trends and advancements in data analytics to maintain expertise and relevance.
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.
Batch | Date | Time (IST) | Batch Type |
---|---|---|---|
Online Live Instructor Led Session | 30 August 2025 | 9 PM to 12 AM | Batch 1 |
Online Live Instructor Led Session | 14th Sept 2025 | 9 PM to 12 AM | Batch 2 |
Feature | Our Course | COMPETITOR A | COMPETITOR B |
---|---|---|---|
Curriculum Scope | Comprehensive: Python, ML, DL, NLP, CV, Generative AI | Basic ML and DL focus | General AI with less focus on Generative AI |
Hands-On Experience | Extensive practical projects with tools like GPT, DALL-E 2 | Limited practical projects | Hands-on projects mainly in traditional AI |
Advanced Tools | GPT, DALL-E 2, Midjourney, Hugging Face, Transformers, GANs, RAG, LangChain | Focus on traditional ML frameworks | Emphasis on standard ML and AI tools |
Instructor Expertise | Experienced professionals with industry and research background | Mix of industry and academic instructors | Primarily academic-focused instructors |
Real-World Applications | Emphasis on real-world problem-solving and innovation | Mostly theoretical applications | General applications with less focus on innovation |
Career Support | Strong focus on career advancement and networking | Basic career services | Limited career support and networking opportunities |
Networking Opportunities | Connect with peers and industry leaders | Limited networking events | Few networking opportunities |
Certification Value | Recognized certification for advanced AI roles | Standard certification | General certification with less industry recognition |