Course Provider
What will you learn in Data Science 360 course?
- The course starts by introducing you to Building Blocks of Data Science, covering data science foundations, concepts, and essential programming elements. Next stage is to learn Data Visualization and Analytics (Excel, SQL & Tableau), elaborating on data extraction, manipulation, analysis, reporting, and building intuitive business dashboards.
- Next, you will learn Python for Data science in two stages. The first stage covers core Python, NumPy, and Pandas for data import/export, analysis, and visualization using business case studies. The second stage covers advanced data visualization using in-demand Python libraries.
- The second stage is where you will learn the highly valuable skills of Predictive Modelling and Machine learning, including supervised and unsupervised learning. In the next step, you learn Text mining and use it for Natural Language Processing (NLP).
- Finally, the curriculum advances to the fundamentals of AI, cloud computing, and ML-Ops, which are critical skills from the current industry point of view.
Data Science 360
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Skill Type
Emerging Tech -
Domain
Big Data Analytics -
Course Category
Deepskilling Course -
Certificate Earned Joint Co-Branded Participation Certificate & Partner Completion Certificate -
Nasscom assessment Available -
Course Covered under GoI Incentive
No -
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Course Price
INR 52,000+ 18% GST -
Course Duration
565 hours
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Why you should take Data Science 360 course?
- One of the best Data Science certifications for candidates who do not have a programming background but want to acquire job-oriented skills for a head-start in the analytics industry. In this program, you will get practical learning on a prominent open-source Data Science platform, i.e., Python, along with the industry's most widely used analytics tools and techniques.
- We combine learning tools alongside a hands-on approach to make you industry ready. This data science course helps you furnish your knowledge from basics to advanced techniques, including Machine Learning. You will also learn vital skills, like ML-Ops, that will help you position yourself as a sought-after Data Science professional. Enroll in this certificate course to develop comprehensive skills in data visualization, descriptive analytics, predictive modelling, and machine learning to drive smart business decisions.
- After completing the course, you will be able to apply robust data science solutions for your organization's business goals for data-driven decision-making.
Who should take Data Science 360 course?
- Ideal for beginner candidates from various quantitative backgrounds, like Engineering, Finance, Maths, and Business Management, are looking for a Data Science to start their career in Analytics and Data Science.
- This program is even suitable for candidates who do not have prior programming knowledge or background in technology or analytics.
Curriculum
This course is divided into 8 broader modules containing:
- Building blocks – to introduce fundamentals of analytics
- Data Visualization & Analytics – includes Excel, SQL and Tableau
- Python for Data Science – to cover Python fundamentals with Data Analysis and Visualization
- Predictive Modelling & Machine Learning with Python – includes Traditional Predictive Modelling with Machine Learning (Supervised, Unsupervised, Introduction to Re-enforcement Learning)
- Text Mining & NLP – this includes Text Extraction, pre-processing, vectorization, EDA, Sentiment Analysis, Text classification, Topic modeling, clustering, etc
- Introduction to AI & Cloud Computing and ANN
- Introduction to ML-Ops & Model deployment
- Industry & Functional sessions
- The course will also include 24 assignments and capstone projects.
Tools you will learn in Data Science 360 course
- Excel SQL
- Tableau
- Python
FAQs
Yes, an industry-recognized certification that will back your knowledge helps immensely. Data Science is not something you can learn in a day. Having proper accreditation ensures that you know all the core fundamentals of being a Data Scientist and leverage it for actionable business outcomes. It simply enhances your job prospects by manifolds.
You must have a quantitative background, and you must have sound logical reasoning. A degree in engineering, maths, statistics, or economics and proper knowledge in SQL queries and other programming languages will help you acquire analytics skills faster. However, our course in Data Science welcomes novices, and we will teach you everything from scratch. Follow our course curriculum to know how you can get started.
Business analysts require several technical and soft skills. Technical skills include data mining, statistical analyses, machine learning techniques, and analytics tools, like Python, SQL, Tableau, etc., and soft skills include communication and business reasoning.
As part of the course, students get weekly assignments and module-wise case studies. The certificate shall be awarded once all your submissions are received and evaluated well (without any plagiarism) within the stipulated time period. Without fair submissions and evaluation of the assignments and projects, a certificate shall be issued.