Data Scientist - Ai GK Institute

 Gurgaon is at the center of the 'Big Bang' of Data Science.

Our lives have taken a sharp turn towards uncertainties and an unforeseeable future. Over the last two years, we have seen how millions of people were suddenly expected to learn new skills due to the loss of their jobs overnight. The skills traditionally considered the safe route to having stable careers became obsolete and redundant, leaving little or no scope for millions of employees. With businesses looking to adapt faster than ever before to changing times and stay future-driven, it has fallen onto the shoulders of a new crop of technocrats. These belong to the race of data-savvy professionals leading the path-breaking realm of data science.

The growing popularity of a data science course in Gurgaon is not a new phenomenon. When the entire country was under lockdown, a few cities in India, such as Noida and Gurgaon, were becoming the buzzing centers of AI and data science developments. And, data science trainers naturally felt that Gurgaon could become the Oxford of the East as far as delivering high octane data science education is concerned during the COVID-19 lockdown. Data science courses in Gurgaon have registered a steady 30% growth in each subsequent admission cycle, attributed to people wanting to upgrade their skills. At the same time, the market corrects itself before normalcy is restored.

Today, data science has emerged like a Big Bang of the modern engineering world that believes in boosting productivity and profits through the sincere and dedicated application of Big Data, Data Analytics, Automation, Artificial Intelligence, and Machine Learning. All these technologies have more or less converged at just the right time, right place, and right manner to stabilize the current volatile scenario inside Gurgaon.

Gurgaon is clearly the epicenter of data science education in North India, Amid all these new trends.

Here's what's driving Gurgaon's data science industry:

Geographical proximity to the National capital of the country- New Delhi

Sizeable network of BE and BTech colleges in and around the Gurgaon region that produces thousands of students specializing in Computer Science, Electronics and telecommunications, Information Technology, and Embedded Systems

Competitive real estate rates that allow startups in data science and AI to open their business

Easy availability of skilled/ semi-skilled/ unskilled workers who can help drive a startup company

Telecom infrastructure and superior internet compared to any other region in the country.

Government-backing on Digital India, Startup India, and Skill India programs that benefit the workforce and entrepreneurs working in the Data Science industry in cities like Gurgaon

The presence of online AI and Data Science course providers like AnalytixLabs helps to keep the momentum going in G=Gurgaon's favor, directly contributing to India's overall GDP

For us at AnalytixLabs, the last 12+ years have been a journey amid the evolving world of data science. Through our extensive research in these domains and courtesy of our valuable alumni-cum-trainer network, AnalytixLabs has positioned itself as a premier provider of data science education in Gurgaon. The AnalytixLabs team's growth in the last 3 years, especially during the pandemic, establishes the credibility of our data science training in Gurgaon for being the best in the consulting and academic industry.

If you have a plan to compete and excel in the data science field, we must encourage you in your mission and support you in pursuing your aspirations. Let's find out what it takes to become a data scientist from Gurgaon's top online data science course.

Expertise required for excelling in data science

To excel in data science, domain expertise is required. To achieve this, you ought to understand the value chain of data management and how it impacts the whole ecosystem of data mining, analysis, and visualization for better reporting.

In the data science course in Gurgaon, trainers are augmenting the knowledge of analysts in these key domains:

Python-based data analysis

Reporting Analytics

Data blending/ integration

Structure Query Language

PySpark / NumPy/ Pandas

Scikit-Learn

Git

Predictive Modelling

Keras

Matplotlib

Deep Learning

Top Job Titles and Roles in the Data Science Industry

Before entering the data science picture, you should understand the people working in this domain and the roles and responsibilities attached to their profession. By virtue of their salary drawn and prominence, data scientists reap the most. However, the creamy layer isn't the last. There are many more trailblazer opportunities beneath this, and these are equally fascinating.

Let's evaluate the roles and popular job titles within the data science industry that garner the most significance:

Data Scientists: Data scientists are experts in data engineering, analysis, and decision making. Business leaders consider hiring a data scientist as one of the most sophisticated decisions in their organization, as these roles are very expensive to hire. The courses for advanced analytics, AI, and big data intelligence, where technical and non-technical skills are imparted, have been popularized due to the increasing demand for data scientists. Technical skills include knowledge governed by concepts such as Deep Learning, Advanced statistics, Machine Learning, Probability theories, Data visualization, Game theories, Cloud computing, Big data processing, analysis, and so on.

Data Science Consultant: Businesses hire external consulting and advisory service providers to strategize and modify their existing data science infrastructure. Top-ranking data science consultants often lead and manage these advisory service providers. The role of a data science consultant is similar to that of a data scientist, albeit more business focussed and governance centric. A certified data science consultant would essentially be doing these for their clients:

Creating a validated data science ecosystem

Providing resources and training models for data analysis

Building an optimized roadmap for technology enablement via programming and IT consulting

Enforcing steps for change management and AI capability building

Strengthening technology and data infrastructure for better data governance

Driving AI ethics and democratization programs

AI Specialist: An artificial intelligence specialist is a certified machine learning expert specializing in AI-related subjects. The primary role of an AI specialist is to harness the power of various AI and machine learning capabilities and tools, discover new ways to implement and use these tools, and finally improve the outcome of different AI-driven processes for multiple industries.

For instance, designing a game plan for the training, development, and learning of data analysis teams is more of the concern of the data science consultant than a data scientist.

Statistical Analyst: In data science, statistical analysts are a highly respected class of professionals who are revered for their skills in SQL, MATPLOTLIB, Python, and GUI toolkits. Throughout the big data revolution, a considerable role has been played by statistical analysts in transforming data into highly interactive sets of data visualization dashboards. In a BI team, statistical analysts have the best chance of progressing into the role of a data scientist. 

Analytics Consultant: Various types of data analysis techniques and tools to solve complex business problems are used by Analytics consultants. These analysts could be performing data analysis for website management, customer experience management, product engineering, email and social media marketing, and financial data management. A certified analytics consultant would be experienced in handling Big Data tools as well as commonly used Business analytics/ Business intelligence tools such as SAP, QlikView, Microsoft BI, Tableau, and others. It takes 12-18 months to become a proficient data analytics consultant in the industry.

Data Engineer: A data engineer is considered the master innovator of modern IT. Also referred to as an 'Information Engineer,' the primary role of data engineers is to analyze, create, and monitor Big Data platforms and sophisticated data pipelines for better data analysis and modeling. These skilled engineers work with one or more different types of databases, warehouses, and pipelines for integrating a superior class of Cloud or Platform driven IT solutions.

ML Engineer: A machine learning engineer is a specialist data engineer who works primarily in the AI field, building predictive models for AutoML algorithms. A majority of engineering students enroll in Python and R programming courses to get hands-on experience in machine learning applications. An ML engineer can progress in career to become an AI specialist, ML test engineer, or data scientist.

Other key titles and job roles that have emerged in data science recently are as follows:

Database architect

Cloud AI platform Engineer (advanced data architect/ ML engineer)

AI data streaming software engineer

DevOps Engineer for AWS, Google Cloud, or IBM Cloud

Conversational AI Consultant / Computer Vision AI Consultant / NLP ML Engineer

Kubernetes Cloud Engineer

Architecture Cloud Operations Engineer

Principal Data Cloud Operations Engineer

AI device engineer, and so on.

Key industries where Gurgaon Data Science citizens are getting placed

Based on our latest hiring and placement records for data science jobs, we found that a majority of data analysts and architects are getting job offers from a diverse group of companies. The top 10 highly active industry domains in Gurgaon that are hiring the maximum number of data scientists from different data science batches include:

Banking and Finance

Consulting firms

Insurance and Actuaries

Online and Offline Retail

Marketing Research and Analytics

Healthcare and Pharma

Mobile gaming and dating apps

Fintech and banking/ payments apps

Blockchain and cryptocurrency

Intelligent Automation

Latest in Data Science courses have allowed thousands of competent students to apply and get selected in these job roles at the mostly higher side of the range for data scientist salary Gurgaon.

To succeed in this highly competitive landscape, our trainers recommend participation in these data science-themed activities:

Join online communities: Python open source, Git discussions, and LinkedIn

Follow microblogging sites for reviews and trends analysis from experts and academic researchers

Join at least one workshop per month

Participate in Kaggle competitions

Subscribe to top YouTube channels, podcasts, and newsletters

Learn data science toolbox from emerging and open source destinations

In-demand Data Science Skills in Gurgaon

We performed a detailed assessment of the top data science skills that business leaders identify as most critical to their organizational goals and how they assess these skills from a long-term perspective of gaining a competitive edge across leading technological regions in the world, such as New York, San Francisco Bay Area, London, Helsinki, Kyiv, Moscow, Tokyo, Singapore, Dubai, Bangalore, Gurgaon, and Sydney.

Here's what we found out about the top data science skills:

Machine Learning: Various dimensions of analysis and data science applied to the creation, application, and improvement of machine learning algorithms are included in the Machine learning curriculum. These encompass learning basic skills related to Python coding, deep learning, NLP, Neural networking, and computer vision development. Essential concepts in machine learning are taught by taking live examples for Reinforcement learning, advanced reinforcement learning, Constructing Skill Trees (CST), PCA Kernel methods, Q-learning, RPROP, label propagation, and hundreds of other key methodologies directly related to an AI ML and data science course. AnalytixLabs' renowned Machine Learning guidebook is widely accepted in India as one of the best resources for reference in AI and Deep Learning technologies.

Excel: Microsoft Excel is the go-to tool for most data analysts. It has been around since the inception of computer-based programming for mathematics and statistics started taking a form in the late 1980s. Despite the menacing growth of software-based programming languages such as Python, R, and MATLAB, Excel remains a formidable domain for the data science candidates for reporting charts and developing two-dimensional data plots. In recent times, Microsoft has expanded its machine learning capabilities to specifically address the demand for advanced analytics options in Excel that allows users to unleash the power of labeled data in a structured program.

Data Analytics: 70% of the industry leaders we asked think data analytics is the basic skill level that they test during the initial screening and interview rounds. Analysts must demonstrate their skills in handling various DA tools such as Power BI, Tableau, SAS, Atlassian, Excel, Spunk, and Rapid Miner.

Python Programming Language: The most popular open-source programming language had once started as an open souse programming assignment. It is the most widely commercialized Machine Learning and AI development center for most data scientists. Nearly 70% of the successful data scientists think that their data scientist salary Gurgaon and success in the companies depends on agility and flexibility to adapt to different levels and versions of Python that can be used in machine learning.

Data Mining: Also referred to as 'data discovery and data extraction', the mining process involves detecting anomalies and outliers by working with advanced machine-level intelligence and AI. These are used to correct trends by accurately recognizing patterns and co-relationships between the existing data and the missing data points before developing a data analytics chart for business intelligence teams, the final users of the data. Data mining is widely considered the final frontier of all analytical jobs as it involves a deep association between mystifying characteristics of Big Data, Synthetic Data, and machine-generated algorithms for predictive modeling and real-time analytics.

Check out this blog on how data mining works!

Today, companies deploy tools such as Tableau or PowerBI for their enterprise information management systems and build customized advanced analytics platforms to solve complex business problems.

SQL: Data scientists consider SQL among the top 5 hardcore skills. SQL is essentially used in RDBMS that involves using Apache, Hadoop, and Spark for big data projects. Together with Hadoop, Java-based SQL forms the basis of all practical data science programming courses for AI and Big Data. SQL, along with the other hardcore data skills, enables analysts to build machine learning prototypes, run data infrastructure, and launch a new generation of data analysis packages and machine learning services.  

For more information on SQL training, access our academic resource on 'SQL Basics for Data Science'

Data Science Corporate Training and Upskilling in Gurgaon

In lieu of the growing demand for skill development and TLD programs initiated by many Gurgaon corporates, we provide Data Science Capability Building programs as part of our premier learning services.

The Corporate Program is positioned above advanced and is referred to as the fourth type of data science course that focuses on upgrading the skills of present-day data scientists who are planning to advance their career into other branches of engineering, say shifting from Text search to Conversational AI, or, from Big Data to Cyber security. These courses are customized as per personal and professional requirements and available only at Masters or Doctorate levels.

Corporate workshops mostly focus on:

AI and Machine Learning Hiring and Training Strategies

A master class, organized in collaboration with leading AI and analytics business heads.

Organization development of an AI business

Analytics 101: Basic to Advanced

Data Science for leaders

Analytics consulting and advisory

Digital transformation

Data Science Course Syllabus

 Course Syllabus

If Data is like gold, refining the Data entails using powerful data analytics frameworks and tools to handle the growing volumes of data. There are tons of data science tools available that are used to analyze, organize, store and process large volumes of Data and its outcomes.

Training in data manipulation is an essential step in data science projects. This essentially means performing activities such as Parsing/ Standardization, Generic cleansing, Enrichment, Data Profiling, Reengineering, and Data monitoring. These activities allow data analysts to work with labeled and structured data that is used with BI Tools to develop reports, graphs, and charts.

Some of the top analytics and data science tools that we train during the course:

Microsoft Excel

Structured Query Language

Tableau

PowerBI (Optional Module)

R/ R-Studio (Optional Module)

Python for Data Analysis

 

NumPy

Pandas

Statmodels

Scikit Learn

NLTK

Keras

All these tools are used for different types of data analysis projects depending on the data structures you are working with.

To head into the kind of roles and training you need to get into the data science profiles, it is essential to understand the data value chain workflow – this covers how Data works and the kinds of processes and workflows involved in management and engineering data for analysis.

The courses at AnalytixLabs are designed to help you understand the working concepts of the following:

Data discovery/ data preparation

Data acquisition techniques: Profiling, Ingestion, Transformation

Data processing techniques: Consolidation, Cleansing, Modelling

Data Exploration

Data Analytics

Basic Mathematical concepts in Algebra and Probability

Predictive analytics and modeling

Machine learning algorithms: AI & Neural Networks, Text Mining & NLP

Segmentation & Clustering

Building Predictive Models using statistical and ML methods

Features of AI NLP and Text mining as applied to data analysis

Validation of Models and deployment

Machine Learning Ops

Course Procedure 

At AnalytixLabs, each course has been developed with the vision to impart one-to-one knowledge through flexible teaching formats. Each data science course in Gurgaon has close to 50 highly structured lectures focusing on academic and practical dimensions of data analysis and tools.

Unique features of these data science lectures

3 hours of interactive live training

74+ hours of guided e-learning and problem solving

18 data science assignments

Up to date online resources for self-study, academic research, and trends snapshots

Real-time career guidance and support

Unbiased market intelligence reporting on the future of data analytics and their impact on top data science salaries in Gurgaon, Delhi, and NCR towns

Modes of Teaching

Live Online or Classroom: Get in-person live training and lab sessions with highly recommended industry experts and data science academicians. Classroom sessions encourage one-to-one Q&A and theoretical studies in addition to case study discussions. All classroom sessions are recorded and uploaded to online platforms for access 24/7.

Bootcamps: Weekend Bootcamps and workshops are organized for working professionals and remote working executives. This is very popular among students in data science courses in Gurgaon as it allows them to get a taste of both classrooms and online experiential learning experiences.

Blended eLearning: Due to the ever-increasing demand for online data science education, AnalytixLabs launched its fully-customizable course in an eLearning mode. Students worldwide have testified the efficacy and impression of this blended learning experience through online reviews and testimonials. This is a unique offering where live doubts sessions are conducted every weekend, along with on-demand eLearning sessions.

AnalytixLabs Scholarship and Data Science Certifications in Gurgaon

An industry-accredited certificate backs AnalytixLabs' Data Science course from Future Skills Prime powered by Nasscom and the Ministry of Electronics and Information Technology (MeitY). 

Our course is aligned to 9 NOCs (National Occupation Standards) set by the SSC (Sector Skills Council of Nasscom) and is covered under the Government of India's advanced skills program.