Our Courses

Python

Django is a high-level Python web framework used for rapid and pragmatic design. Django is fast, secure and scalable. When building a website, we need many components to perform a similar set of functions- authentication, session management, admin panel, forms, etc. Django gives you ready-made components to easily and quickly develop any web application.
This course will train you to how to write web applications using Python and Django. Django handles many complexities of web development. The focus will be on learning the key concepts of web application using Django as a back end. You will also create a fully functional E-commerce site which will make you a skilled developer of web application using Python and Django.

Python is prominent, very much supported and “readable” programming language that everybody from Managers to Analysts to Web Designers can leverage.
Regardless of whether you have experience in programming or are hoping to begin, this course will put you on the road to success by developing and sharpening your Python skills.
This course will prepare and train the learner to grow into a Programmer/Developer in Python language. The course will begin from the essentials of programming and will cover all the features of core Python programming. Key modules secured will be – Python installation, Python syntax, variable declaration, operators, conditions, loops, data structures, file operations, and web methods.

Big Data and Hadoop

Hadoop is one of the most demanding platforms that has made possible to analyze big data to reach right decision in the various industries to human lives. Be a part of this expedition and explore this tremendous flow of information with Hadoop’s way of distributed processing. Learn not only about the Hadoop ecosystem, but also the different system and their integration to solve the real-world problems. This course will make you learn all the elements of Big Data
This course will train you to manage Big Data on a cluster with storage at HDFS and process through MapReduce, store and query your data with Sqoop, Hive, MySQL, HBase, MongoDB, manage real-time data with Kafka and Flume, write programs with Pig and Spark. You will find a lot of hands-on activities and exercises to prepare you to implement your learning and address practical problems.

Data Science

Masters in Data Science empowers you to attain Data Scientist, Data Engineer and Machine Learning Engineer positions in one of the most promising fields of the 21st century. The course covers the breadth and depth of knowledge required to begin a successful career in Data Science. The course strengths the learning in a manner that budding Data Scientist is an all-rounder who effectively communicates and collaborates with diverse experts.
An extensive curriculum enables you to develop depth in Computational Modeling, Data Collection and Integration, Data Manipulation, Data Storage and Retrieval, Data Processing, Descriptive Analytics and Visualization to Statistical Analysis, Predictive Analysis and Machine Learning models using Python and R along with Hadoop, ETL Tools, Data Collection Tools, Storage Tools and Advance Analytics Tools.
In addition to the regular learning methodology of assignments and projects, the learner undergoes a well-designed internship program based on evaluation and interests to ensure the smooth and confident start of a career. This course is a gateway to the fastest growing career of this millennium.

R is a programming language created by statisticians for statisticians so when it comes to transforming data into knowledge, it is certain to lead and for that reason, it is called that R has taken the world of statistics by storm. In a data-driven economy, the combination of data science with skills of R language is in extremely high demand and has revolutionized the world.
The course will open up with the concepts of the practice of data science and the language R to make its usage for the transformation of data to have actionable insights. It will take you next to the methods of cleaning data and working with data using R to create descriptive statistics, data visualizations, and various models. You will further learn to handle Big Data and make predictions with Machine Learning algorithms. The course has been designed with the appropriate blend of statistics, technical skills, and business knowledge which is well aligned to cutting-edge industry ensuring your learning meets your employer or business needs. The course is suitable and rewarding for beginners as well as experienced professionals.
This course will train you to manage Big Data on a cluster with storage at HDFS and process through MapReduce, store and query your data with Sqoop, Hive, MySQL, HBase, MongoDB, manage real-time data with Kafka and Flume, write programs with Pig and Spark. You will find a lot of hands-on activities and exercises to prepare you to implement your learning and address practical problems.

In this information age, data is all around us and therefore is at times named as the worldwide currency or new fuel. Its exponential expansion is changing the whole industrial ventures, leading to the demand of Data Scientists who can control and use the information through Machine Learning with most powerful yet easy, readable and popular language, The Python. From entertainment and healthcare to cybersecurity and finance, the requirement of Data Scientist is growing along with the opportunities for career growth within the field.
Our approach to this course is to make you learn the underlying concepts and statistics of data Science This course will take you from the basics of Python to the complexities of applied Python for Machine Learning to make you learn the Data Analytics, Data Visualization, Web Scrapping, Natural Language Processing and Predictions based on hidden patterns in data. The course will outfit you with inside and out knowledge of the different libraries, tools and packages such as Jupyter Notebook, NumPy, Pandas, git, Scikit-learn, Naive Bayes, ANOVA, Matplotlib, Seaborn and many more. The learning is encouraged and enriched by interactions with subject matter experts and Data science practitioners. Working professionals who want to upskill or newbies, learning this interactive, highly in demand and hands-on course is perhaps the best career investment you can make right now.

Digital Marketing

The goal of the program is to make you a professional to provide solutions based on the key drivers that are successful in transforming businesses which still operate or partly operate outside the digital world in order to catch up with the future of marketing.
The course covers the basics and essentials to advance the learning of digital marketing. The main areas covered during the program are Website Management, UX, Email Marketing, Digital Marketing Strategy and Planning, Search Engine Optimization (SEO), social media, Content Marketing, Lead Generation, Inbound Marketing, Search Engine Marketing (SEM), Online Reputation Management, Webinars, Affiliate Marketing, Blogging and Ad sense, Video Creation and Display, MobileMarketing, E-commerce and Budgeting.
The program is designed to transform you into an expert covering all aspects of digital marketing.

Digital Marketing is far beyond than simply composing interesting captions. At the point when it’s set well, it’s a genuine upper hand that builds business and gives it a pace in no time. It’s the future of marketing.
This course will outfit you with the skills and knowledge you require to be a dynamic and effective marketer of the 21st century. You will learn current tools and best practices that you can use to advance a brand, drive potential customers, and lift client experience.
This course will enable you to:
• Create, design, optimize and measure a website
• Implement the content strategy
• Use a full arms stockpile of digital tools, including Google AdWords, Facebook, LinkedIn, Google Analytics, and so on
• Design, execute and optimize marketing plans across all modern digital channels — social, search, email, paid to advertise, etc.

• Earn through affiliate marketing

• Analyze the success of digital campaigns by measuring tools
An extensive curriculum enables you to develop depth in Computational Modeling, Data Collection and Integration, Data Manipulation, Data Storage and Retrieval, Data Processing, Descriptive Analytics and Visualization to Statistical Analysis, Predictive Analysis and Machine Learning models using Python and R along with Hadoop, ETL Tools, Data Collection Tools, Storage Tools and Advance Analytics Tools.
In addition to the regular learning methodology of assignments and projects, the learner undergoes a well-designed internship program based on evaluation and interests to ensure the smooth and confident start of a career. This course is a gateway to the fastest growing career of this millennium.

Digital Marketing is far beyond than simply composing interesting captions. At the point when it’s set well, it’s a genuine upper hand that builds business and gives it a pace in no time. It’s the future of marketing.
This course will outfit you with the skills and knowledge you require to be a dynamic and effective marketer of the 21st century. You will learn current tools and best practices that you can use to advance a brand, drive potential customers, and lift client experience.
This course will enable you to:
• Create, design, optimize and measure a website
• Implement the content strategy
• Use a full arms stockpile of digital tools, including Google AdWords, Facebook, LinkedIn, Google Analytics, and so on
• Design, execute and optimize marketing plans across all modern digital channels — social, search, email, paid to advertise, etc.

• Earn through affiliate marketing

• Analyze the success of digital campaigns by measuring tools
An extensive curriculum enables you to develop depth in Computational Modeling, Data Collection and Integration, Data Manipulation, Data Storage and Retrieval, Data Processing, Descriptive Analytics and Visualization to Statistical Analysis, Predictive Analysis and Machine Learning models using Python and R along with Hadoop, ETL Tools, Data Collection Tools, Storage Tools and Advance Analytics Tools.
In addition to the regular learning methodology of assignments and projects, the learner undergoes a well-designed internship program based on evaluation and interests to ensure the smooth and confident start of a career. This course is a gateway to the fastest growing career of this millennium.

This course is aimed at learners who have understood that the world is changing and so is the marketing leading to the great demand of new generation marketing specialists who know to anticipate, imagine, influence and decode.
The course is covered in five phases and in the first phase you will understand the digital landscape and foundation of digital marketing will be laid down
The second phase is to help you develop an advanced understanding of the fundamental concepts and channels underpinning digital marketing and selling.
The third phase is a specialization phase where you will undergo a specialized learning in four topics of your interest
In your fourth phase, you will learn to critically analyze being aligned with business objectives and develop integrated 360-degree strategy to exploit the strength of digital channels in the service of brand and apply different design techniques, positioning, evaluation, analysis and many more to achieve greater visibility on the network, a greater volume of traffic and increase the degree of user loyalty considering the ROI
The fifth phase is the internship to give you an opportunity to understand the pace of workplace, boost the confidence, build a network, expose to business and clients, strengthen your CV and handle the changes.

Courses Details

Python

125 Hours

Web Programming Using Python and Django

Django is a high-level Python web framework used for rapid and pragmatic design. Django is fast, secure and scalable.

Python

120 Hours

Get going with Python

The course will begin from the essentials of programming and will cover all the features of core Python programming.

Big Data, Hadoop

136 Hours

Big Data and Hadoop Certification Course

Be a part of this expedition and explore this tremendous flow of information with Hadoop’s way of distributed processing.

Digital Marketing

175 Hours

Certified Digital Marketing Professional

In addition to the regular learning methodology of assignments and projects, the learner undergoes internship program