Explore the dynamic realm of data analytics in our comprehensive course designed to empower you with the skills needed to navigate and derive valuable insights from vast datasets. Dive into the fundamentals of data collection, cleansing, and visualization using cutting-edge tools and techniques. Gain proficiency in statistical analysis, predictive modeling, and machine learning algorithms to uncover patterns and make informed decisions. Develop hands-on expertise with industry-standard software and platforms, equipping you to extract meaningful conclusions for business intelligence. Whether you're a beginner or seasoned professional, this course cultivates a solid foundation in data analytics, fostering your ability to transform raw information into actionable intelligence.
EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.
10-02-2025 | Monday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
12-02-2025 | Wednesday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
14-02-2025 | Friday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
15-02-2025 | Saturday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
Explore the dynamic realm of data analytics in our comprehensive course designed to empower you with the skills needed to navigate and derive valuable insights from vast datasets. Dive into the fundamentals of data collection, cleansing, and visualization using cutting-edge tools and techniques. Gain proficiency in statistical analysis, predictive modeling, and machine learning algorithms to uncover patterns and make informed decisions. Develop hands-on expertise with industry-standard software and platforms, equipping you to extract meaningful conclusions for business intelligence. Whether you're a beginner or seasoned professional, this course cultivates a solid foundation in data analytics, fostering your ability to transform raw information into actionable intelligence.
In-demand Skills: Data analytics is a high-demand skill in today's job market, opening up diverse career opportunities in various industries.
Informed Decision-Making: Learn to make informed decisions based on data-driven insights, contributing to better business strategies and outcomes.
Business Intelligence: Acquire the ability to extract valuable information from data, providing a competitive edge by understanding market trends and customer behavior.
Problem Solving: Develop problem-solving skills by analyzing complex datasets, identifying patterns, and proposing effective solutions to real-world challenges.
Career Advancement: Enhance your professional profile and increase your marketability by adding data analytics expertise to your skill set.
Innovation: Drive innovation within organizations by leveraging data to discover new opportunities, streamline processes, and optimize performance.
Adaptability: Equip yourself with skills that are transferable across industries, enabling you to adapt to the evolving landscape of technology and business.
High Earning Potential: Positions in data analytics often come with competitive salaries due to the increasing demand for skilled professionals in the field.
Global Relevance: Data analytics is a globally relevant skill, allowing you to work and contribute to organizations worldwide.
Continuous Learning: Join a field that is constantly evolving, providing ongoing learning opportunities and the chance to stay at the forefront of technological advancements.
• We check your knowledge before we start the session.
• We build foundational topics first and core topics next.
• Theory classes with a real-time case study.
• Demo on every topic.
• You will learn how to design architecture diagrams for each service.
• Mock exam on every topic you understand.
• Exam Preparation
• Interview Preparation
4 Months Course 50% Theory 50% Lab Daily Homework Real time Projects
Topics Covered
Module 1: Foundations of Data Analytics
1.1 Introduction to Data Analytics
1.2 Data Collection and Preprocessing
1.3 Descriptive Statistics and Visualization
1.4 Inferential Statistics
Module 2: Programming for Data Analytics
2.1 Python Programming Fundamentals
2.2 Data Manipulation and Visualization with Python
2.3 Advanced Topics in Python
2.4 Database Management and SQL
Module 3: Machine Learning and Predictive Analytics
3.1 Introduction to Machine Learning
3.2 Regression and Classification Models
3.3 Clustering and Dimensionality Reduction
3.4 Time Series Analysis and Forecasting
Module 4: Big Data and Advanced Technologies
4.1 Introduction to Big Data
4.2 Cloud Computing for Data Analytics
4.3 Advanced Analytics with Spark
Module 5: Capstone Project and Industry Applications
5.1 Capstone Project
Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.
Q: What if I am not an Engineer/Programmer? Can I still do the Data Analytics course?
A: Data Analytics is not a separate domain but a tool/technology which can be used in any field. Our course is designed to address the needs of non-programmers and candidates who have no IT knowledge. Anyone who has an interest in Data Analytics can take up this course.
Q: Will I get placement assistance?
A: Yes. You will get it once you finish the course.
Q: What if I have queries after I complete this course?
A: You can check our blog or send your queries from social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.
Q: How soon after signing up will I get access to the course?
A: Once you join the course, our Counselor Manager book a slot with our Trainer based on your and Trainer's available time.
Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material, but you can also watch short and sweet videos from our Youtube Channel.
Q: What is the average salary of a Data Analytics professional?
A: $229,868
If a student want to take admission in any course he has to go with the following steps
Upon successful completion of the assessment, candidates receive a customized learning path, course schedule, and payment options. Candidates can finalize their enrollment by agreeing to the course structure and payment plan.