Tools and Technologies
Tools and Technologies
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Regardless of which domain you are from and where you work with what job title, Data skills are required now more than ever. Hence we built a bridge for you to transition into the world of Analytics.
80%
Avg Salary Hike
80%
Avg Salary Hike
1268
Careers Changed
1268
Careers Changed
26 LPA
Highest CTC
26 LPA
Highest CTC
71 +
Recruiters
71 +
Fireblaze Learning Advantage
Fireblaze Learning Advantage
Placement Drives
Dedicated Placement drives are regularly conducted by various hiring partners for our learners.
Mock Interviews
Mock interviews are regularly conducted to boast learners confidence.
1:1 Mentorship
1:1 Mentorship
Case Studies
Industry Guest Lectures
Subject Matter Experts from industry conduct sessions regularly for our learners.
LinkedIn Portfolio
Dedicated sessions are conducted to create personal brand over linkedIn to attract recruiters.
Learner's Feedback about Fireblaze
Learner's Feedback about Fireblaze
Get a peek through the entire curriculum designed that ensures you're industry ready.
Success Stories of learners at FIREBLAZE
Success Stories of learners at FIREBLAZE
Data Science and Business Analytics Certificate offered by Fireblaze
Data Science and Business Analytics Certificate offered by Fireblaze
The Fireblaze Data Science Certificate is an advanced course designed to equip you with the skills and knowledge necessary to become a successful data scientist.Upon successful completion of the course, you will receive a certificate of completion to show employers your expertise in the field of data science and analytics.
Curriculum Overview
Subject 1 - Python for Data Analytics
Python for Data Analytics is an introductory course designed to teach you the basics of data analytics using the Python programming language. You'll learn how to use Python to explore and analyze datasets, create visualizations, Through hands-on examples and hands-on coding exercises, you'll gain the skills and knowledge you need to become a data analyst. Sign up today and take your data analytics skills to the next level.
Subject 2 - Structured Query Programming ( SQL )
Structured Query Programming (SQL) is a course designed to teach you the fundamentals of Structured Query Language (SQL). You'll learn how to write complex queries to extract data from databases, create and modify tables and views, and use basic data manipulation techniques. With the skills you learn in this course, you'll be able to effectively manage, analyze, and present data from a wide variety of sources. Sign up today and get started with SQL.
Subject 3 - Microsoft Excel and Power BI
Microsoft Excel and Power BI is a course designed to help you master the most popular business intelligence tools. You'll learn how to use Excel to manage and analyze data, create powerful visuals, and automate tasks. You'll also learn how to use Power BI to create interactive dashboards and data visualizations. With the skills you learn in this course, you'll be able to quickly and effectively analyze data and make informed decisions. Sign up today and start using Excel and Power BI to your advantage.
All the subjects taught in Foundational Course and additional subjects given below
Subject 4 - Machine Learning for Data Science
Subject 4 - Machine Learning for Data Science
This course provides an introduction to the fundamentals of machine learning and data science. Students will learn to apply predictive modeling and machine learning techniques to real-world problems, as well as gaining an understanding of the theoretical underpinnings of these techniques. Topics covered include supervised and unsupervised learning, linear and non-linear models, and more. Students will also gain practical experience with popular machine learning libraries such as scikit-learn. With a focus on hands-on learning, this course is designed to give students the skills they need to become proficient in the field of machine learning and data science.
Subject 5 - Natural Language Processing
Subject 5 - Natural Language Processing
This course provides students with an introduction to the field of natural language processing (NLP). Students will learn how to apply NLP techniques to text data, as well as gain an understanding of the theoretical underpinnings of these techniques. Topics covered include text preprocessing, part of speech tagging, sentiment analysis, topic modeling, and more. Students will also gain practical experience with popular NLP libraries such as spaCy, NLTK. With a focus on hands-on learning, this course is designed to give students the skills they need to become proficient in the field of natural language processing.
Subject 6 - Computer Vision
Subject 6 - Computer Vision
This course provides an introduction to the field of computer vision. Students will learn how to apply computer vision techniques to images and video data, as well as gain an understanding of the theoretical underpinnings of these techniques. Topics covered include image preprocessing, feature extraction, object detection, and more. Students will also gain practical experience with popular computer vision libraries such as OpenCV, scikit-image. With a focus on hands-on learning, this course is designed to give students the skills they need to become proficient in the field of computer vision.
Take your first Step towards starting your Career in Data Science and Analytics by talking to our Academic Counsellor.
Job Titles Our Students Have Secured
| Data Analyst | Business Analyst | Cognitive Specialist |
| Data Scientist | Data Engineer | Research Analyst |
| Machine Learning Engineer | Data Management Engineer | Business Intelligence Specialist |
Our Students Work at
Data science and analytics jobs are predicted to increase 28% by 2020, according to an IBM report. The global analytics market is expected to grow by $132.9 billion during the period of 2016 to 2026 (Source: Market research future report)
