Data Analytics

Course Overview

Welcome to our exclusive Data Analytics course, where you’ll receive personalized one-on-one training with a seasoned Expert Instructor! This expert will guide you through a comprehensive, real-life industry curriculum, tailored to meet the demands of the data-driven world and propel your career to new heights.

Imagine having the opportunity to learn directly from a seasoned professional with over 20 years of hands-on experience. Our Expert Instructor will generously share their wealth of knowledge, insights, and expertise with you throughout the training journey. As you embark on this transformative learning experience, anticipate nothing short of extraordinary.

Pathways

Data Analytics Foundation (Self-Paced)

Build a solid foundation in data analytics with this self-paced course. Learn to collect, process, and analyze data to uncover actionable insights, preparing you for advanced analytics roles across industries.

Start Dates: Available anytime (self-paced)

Duration: 6 weeks (self-paced)

Format: Virtual self-study

Key Topics: SQL for data querying, Power BI for visualization, Advanced Excel for data manipulation, GitHub for version control, and basic statistical analysis.

Data Analytics Practicum Cohort

Dive into real-world data challenges with our electrifying cohort-based practicum! Transform data into decisions with hands-on projects, guided by top-notch experts.

Start Dates: January, April, July, and September cohorts

Duration: 8 weeks

Format: Virtual sessions

Key Topics: Advanced SQL techniques, Power BI dashboard creation, Advanced Excel for analytics, GitHub for collaborative projects, and predictive analytics.

Advanced Data Analytics

Elevate your data analytics expertise with this cutting-edge course! Dive deep into Python programming and its powerful tools to tackle complex challenges and drive innovation across industries.

Start Dates: January, April, July, and September cohorts

Duration: 10 weeks

Format: Virtual sessions

Key Topics: Python programming fundamentals, data manipulation with Pandas, data visualization with Matplotlib and Seaborn, machine learning with Scikit-learn, and version control integration.

Why choose this course?

Develop hands-on experience using some modern tools for analytics and insights and applying them to problems in various domains such as banking, retail, healthcare, telecom, and travel.