Level up your skills with job-oriented Data Science course

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Course Highlights

Job-oriented Data Science course encompassing basics descriptive analytics to advanced statistical analyses, and Machine Learning using most in-demand tools, like Excel, SQL, Tableau, and Python.
The meticulously crafted curriculum is delivered by seasoned professionals, following the pedagogy based on the latest hiring trends.
Case study-based modules and hands-on sessions based on real-life business scenarios ensure that participants learn practical applications.
Comprehensive placement support by a panel of experienced faculty members who have had first-hand recruiting experience during their corporate tenures.
An ideal course for Data Science beginners, with or without a programming background, who want to start from the basics and graduate towards advanced analytics.
Certificate by Analytix Labs on course completion
Co-branded certificate by FutureSkills Prime & Analytix Labs
Job Roles:
- Data Quality Analyst
- Business Intelligence Analyst
- Data Scientist

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.

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.

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.

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.