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Data Analytics Course in Uppal

Fast-track your career with the Certificate Course in Data Analytics Training in Uppal.
  • 48 Hours of Intensive Classroom & Online Sessions
  • 80+ Hours of Practical Assignments
  • 3 Capstone Live Projects
  • Receive Certificate from Technology Leader - IBM
  • Receive Certificate from Top University - UTM, Malaysia
  • 100% Job Placement Assurance
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data analytics course reviews in Uppal - 360digitmg
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The demand for new age tech professionals in 2020 will be 4.4 Lakhs against a supply of 2.4 Lakhs." - (Source). Companies today have realized the gravity of a data-driven business approach to help them examine the stream of collected information and provide valuable insight. Therefore, the need for talented candidates with data skills will only grow by leaps and bounds as we continue to digitize our ecosystem. India contributes to over 6% of the data analytics job openings worldwide. Currently, there are approximately 97000 jobs open in India 24% of which are clustered around Bengaluru. Uppal and Mumbai are also the emerging hotspots for job seekers in the data analytics landscape in India. 70% of analytics openings were for junior level positions and 30% for senior positions in Data Analytics.

Data Science

data analytics training in Uppal - 360digitmg

Total Duration

3 Months

data analytics training pre-requisite in Uppal - 360digitmg

Prerequisites

  • Computer Skills
  • Basic Mathematical Concepts
  • Analytical Mindset

Overview of Data Analytics Course in Uppal

The Data Analytics course in Uppal from 360DigiTMG is one of the most comprehensive Data Analytics courses in Uppal. Data Storage and processing using Hadoop, Spark, and HDFS are dealt with very descriptively. Apache Hadoop is used to extract data and Apache Spark is used to analyze it further. The concepts of Data Preparation, Data Cleansing and Exploratory Data Analysis are examined in detail. Data Mining of Structured (RDBMS) and Unstructured (Big Data) data, with the aid of Python and R programming, is illustrated with real-life examples. A module is dedicated to the core concepts of Machine Learning and developing Machine Learning Algorithms for Predictive Modelling using Regression Analysis. Various black-box techniques like Neural Networks, SVM are illustrated and the efficacy of Data Visualization techniques to present findings feature in the best Data Analytics training in Uppal.

What is Big Data?

Big Data refers to heterogeneous humongous volumes of data arriving at high velocity that exceeds the conventional storage, processing, and computing capacity of regular databases and Data Analysis Techniques. We are referring to petabytes and terabytes of storage capacity. The data stored can be web data (page views, searches.reading reviews), text data (email, news, Facebook feeds) Time and location data (GPS and mobile phone inputs), Smart grid and sensor data (use of sensors in engines and machinery), Social Network Data (Link analysis in sites like Facebook, Instagram, etc) and data stored in RDBMS.

What is Big Data Analytics or Data Analytics?

Big Data Analytics denotes the cluster of tools and techniques used to analyze Big Data to expose hidden patterns and correlations in the data. This enables cost-reduction and better decision making. It also helps us to design better quality products and services in the next-generation category.

This Data Analytics courses from 360DigiTMG is a structured course which teaches students about the various stages of the Big Data Analytics lifecycle which are: Problem Identification, Designing Data Requirements, Pre-processing Data, Performing Analytics Over Data, Visualizing Data.

Course Details

Learning Outcomes of Data Analytics Training in Uppal

This course gives you an outlook towards the various techniques facilitating data analytics on huge datasets. Learners will assess the application of these technologies that provide scalable systems for storing and processing huge amounts of data. This module instructs the student on the various techniques used to analyze structured and unstructured data, building advanced prediction models with machine learning algorithms and data visualization. The Big Data Analytics course is the ideal course for professionals who want to acquire in-depth knowledge of Big Data frameworks. The three month Big Data Analytics training in Uppal will cover the Hadoop Distributed File System (HDFS), MapReduce, YARN, and the basics of Linux OS. Students will learn to use Pig, Hive, Python, and Scala to process and analyze large datasets stored in HDFS, and Sqoop for data migration from a relational database management system to a Big Data system. They will also be introduced to various black-box techniques like Neural Networks and SVM. The course is laden with practical case studies that enable the participants to solve complex business problems and improve profitability in their companies.

Work with various data generation sources
Perform Text Mining to generate Customer Sentiment Analysis
Analyse Structured and Unstructured data using different tools and techniques
Develop an understanding of Descriptive and Predictive Analytics
Apply data-driven, Machine Learning approaches for business decisions
Build prediction models for day-to-day applicability
Perform forecasting to take proactive business decisions
Use Data Visualization concepts to represent data for easy understanding
Block Your Time
data analytics course in Uppal - 360digitmg

48 hours

Classroom Sessions

data analytics training in Uppal - 360digitmg

80+ hours

Assignments

data analytics training in Uppal

80+ hours

Live Projects

Who Should Sign Up?
  • IT Engineers
  • Data and Analytics Manager
  • Business Analysts
  • Data Engineers
  • Banking and Finance Analysts
  • Marketing Managers
  • Supply Chain Professionals
  • HR Managers

Data Analytics Course Modules in Uppal

Acquire essential data engineering skills in this data analytics training that covers Hadoop Distributed File System( HDFS), MapReduce, YARN, and the basics of Linux OS. This course will empower you to employ Pig, Hive, Python, and Scala to process and analyze large datasets stored in HDFS. Also, comprehend SQOOP used for data migration from RDBMS to Big Data sets. The module on Machine Learning Training using Python and R programming includes an overview of analytical techniques used to manipulate humongous data and to derive meaningful business insights from the same. In this course, you will use Python and R to perform Regression Analysis and build Prediction Models. This is undoubtedly one of the best data analytics training courses in Uppal.

Data Science is the sexiest job of the 21st century. Learn about the applications of Data Science in various sectors and industries. Organizations need to analyze the humongous amount of data collected from various touchpoints, to stay ahead of the competition. In this module, you will comprehend the benefits of employing Data Science in different industries and sectors with the help of cogent use cases.

Data Science projects are implemented in stages like, business and data understanding, data preparation and modeling, model evaluation, and finally deploying the solution. These steps are part of the Project Management methodology called CRISP-DM. In this module, you will understand the different stages of the Project Management framework CRISP-DM.

In this module, you will learn about the various steps involved in Data Preparation. The data collected by organizations is usually in a raw format that cannot be directly used for model development. It has to be processed with Data Preparation and Data Cleansing. Learn the various statistical computing and visualization techniques to apply Descriptive Analytics.

Data is key while performing analytics for organizations to derive meaningful insights. Data stored in various data sources need to be extracted and cleaned before it can be consumed. Features that are relevant to solve a business problem, need to be identified using various techniques. In this module, you will learn to extract features by selecting the relevant ones.

Learn the art of decision making using Inferential Statistics. Understand the business problem and devise the Hypothesis Testing. Understand the different Hypothesis Testing paradigms used in different scenarios. Also, learn to use the appropriate test based on the data being analyzed. In this module, you will also learn about the most popular numeric value Prediction Model - the Regression Model. Understand the mathematical explanation for Linear Regression Models.

The prediction of a numeric dependent variable is performed by Regression Methods. Learn the variations in Regression Models used for continuous and discrete numeric values, learn about their mathematical applications based on the distribution of the Dependent Variable. Understand the Discrete Probability Distributions along with Continuous Probability Distribution and Regression Methods used for the prediction of these variables.

Data Mining is a quantitative technique used to churn data. Unsupervised Learning techniques are used to derive hidden patterns from data. All the attributes in the data are treated as independent variables. Hence in these techniques, the prediction of any specific variable does not occur. Data Segregation, and identifying the relations between entities (rows and columns) is enabled.

A Computer will understand unstructured text data, only if you first bring a structure to the data. In this module, you will learn how to extract features from unstructured data using a Bag Of Words Technique. This is used to create a key-value paired data called DTM or TDM. Learn to interpret the sentiment of keywords extracted, from review data. Advanced concepts of machine learning used to extract context/sentiment and emotions from keywords are discussed as part of Natural Language Processing.

Data Mining Supervised Learning techniques are also called Machine Learning Algorithms. As part of this module, you will learn the mathematically explainable, Prediction And Classification Models. Techniques are broadly segregated as Regression And Classification Techniques, based on the dependent data type. You will learn rule-based classification models like a decision tree and ensemble methods boosting, bagging and random forest. You will also learn the Lazy Learner k-NN method as part of this module.

Data Mining Supervised Learning Black Box techniques which are the go-to techniques used for deep learning are discussed as part of this module. Learn about Neural Networks which are derived from the biological brain model. Understand all the parameters of the Neural Network model and learn the art of tuning these parameters to improve the model. Types of Neural Networks, ANN, CNN and RNN, used in Deep Learning to solve problems on unstructured data. Support Vector Machines are also a Black Box Technique used in Deep Learning for classification and prediction of attributes in a non-linear multidimensional space using boundaries derived by kernel parameters. Learn about the application of these models in real-time use cases.

Attributes affected by time are analyzed using specialized techniques. Learn to interpret the components of a Time Series data, understand how time-series data is different from the cross-sectional data which is collected at a single point of time. Learn about the systematic components level, trend, and seasonality of time series data. EDA techniques to identify these components and predicting these components using forecasting techniques are also part of this module. You will learn the different approaches of forecasting as part of this module.

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Data Analytics Training Panel of Coaches in Uppal

data analytics certification trainers in Uppal - 360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 14+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
 
data analytics certification trainers in Uppal- 360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine Learning, Business Intelligence and Data Visualization
  • Trained over 1,500 professionals across 12 countries
  • Worked as a Data Scientist for 14+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology, Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos.
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more
Read More >
 
data analytics certification trainers in Uppal- 360digitmg

Nitin Mishra

  • Areas of expertise: Data Sciences, Machine Learning, Business Intelligence and Data Visualization
  • Over 20+ years of industry experience in Data Science and Business Intelligence
  • Trained professionals from Fortune 500 companies and students from prestigious colleges
  • Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL
  • Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more
Read More >
 
data analytics course certification in Uppal - 360digitmg
data analytics UTM certificate course in Uppal - 360digitmg

Certificate

This Data Analytics course completion certificate demonstrates your prowess in Data Analytics, Machine learning and data visualization. It is proof of your diligence and dedicated endeavours. Use it to distinguish yourself with peers and superiors. Propel yourself in your career path with this certificate from the best data analytics training institute in Uppal.

FAQs for Data Analytics Course in Uppal

360DigiTMG provides a good Certification Program on Life Sciences and Healthcare Analytics meant for medical professionals. The course is devoted to Clinical Healthcare Data Analysis. Medical professionals will learn to interpret Electronic Health Record (EHR) data types and structures and apply predictive modelling on the same. In addition to this, they will learn to apply machine learning techniques to healthcare data.

Students must possess a Bachelor's degree in Mathematics / Statistics / Computer Science / Data Science or a Bachelor's degree in Engineering (any discipline) from a recognized institute.

The duration of this course is three months. It comprises of 48 hours of classroom or online sessions, 80 plus hours of assignments and e-learning and 80 plus hours of live project work.

The key objectives of a good data analytics course are:

  • Become proficient with different data generation sources
  • Master Text Mining to generate Customer Sentiment Analysis
  • Analyze and transform Structured and Unstructured data using different tools and techniques
  • Learn the techniques of Descriptive and Predictive Analytics
  • Apply Machine Learning approached for business decisions
  • Build prediction models for day-to-day applicability
  • Perform forecasting to take proactive business decisions
  • Represent business results using data visualization techniques

The curriculum of this course includes the following subjects:

  • Data Preparation
  • Data Cleansing
  • Exploratory Data Analysis
  • Feature Engineering
  • Feature Extraction
  • Feature Selection
  • Hypthesis Testing
  • Regression Analysis
  • Predictive Modelling
  • Data Mining Supervised
  • Data Mining Unsupervised
  • Text Mining
  • Natural Language Processing
  • Machine Learning
  • Black Box Techniques - Neural Networks, SVM
  • Time Series Analysis / Forecasting
  • Project Management

The most obvious benefit of pursuing a data analytics course is that one can apply to a plethora of job opportunities available in the data science market. The demand for data science professionals in India it has increased by 400% and the supply has increased by 19% only. This is the most sought after qualification. It is also the most lucrative career option with salaries hitting the ceiling.

Another benefit would be the range of analytical and problem-solving skills that a student acquires from a data analytics course. These skills can be used to analyse big data and draw meaningful insights from the same.

The third benefit is that you exhibit better business decision-making skills in the workplace.

Data Analytics is useful for Chartered Accountants. Chartered accountants can use big data analytics and machine learning to re-engineer the audit process. Network Analytics and Graph Data are used to identify fraudulent practices. The tools of data analytics can be used to detect business risks as well.

360DigiTMG offers a Data Science Course for Internal Auditors and a Certification Program in Financial Analytics. Chartered Accountants can pursue either one of these courses to develop cutting-edge analytical skills.

Data Analytics is widely used in the Financial Services industry today. Finance professionals can benefit from a data analytics course. They will understand how data analytics is employed in Stock Market Investments, Banking, Financial Advisory and Management, EPS etc. The application of Artificial Intelligence in Algorithmic Stock Trading, Automated Robo- Advisors and Fraud Detection Systems are also elaborated in-depth in a financial analytics course.

360DigiTMG offers a very comprehensive Certification Program in HR Analytics for HR professionals. The module includes

  • Enabling Workforce Analytics
  • Predictive Modelling for Ethnic Diversity
  • Machine Learning to predict Employee Turnover
  • NLP techniques to screen and recruit candidates
  • Predicting Employee Performance
  • Predictive Modelling of sickness/ absence
  • Deep Learning for Emotion Mining in Workforce Analytics

The course material can be downloaded from our online Learning Management System (AISPRY).

We do teach data visualization with Tableau as part of the data analytics course.

As soon as a student joins a course he is assigned a mentor. If the institute feels that a particular student requires additional assistance then they will assign some more mentors for a single student.

We host several free webinars on data analytics on youtube. They can be accessed from the link given below

https://www.youtube.com/channel/UCNGIDQ466bNY87eEeKeQuzA

No. The cost of the certificate is absorbed in the course fee.

All classroom sessions are video recorded and lodged in our Learning Management System AISPRY. If you miss a data analytics classroom session you can access the recorded session from the Learning Management System.

Once a student completes his course and receives the Course Completion Certificate, he is eligible for an internship. We offer an internship with INNODATATICS ltd. The students gets involved in a live project with INNODATATICS. At the end of his internship, he will receive an Internship Certificate in recognition of his efforts.

A fresh graduate will greatly benefit from the internship opportunity with INNODATATICS that our institute offers. He will work on a live project and get hands-on experience of implementing a data analytics solution. This will improve his employability immensely. Most employers value live project experience only.

You can apply for the following jobs after completing the course:

  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Business Analyst

A Data Analyst deals with Data Cleansing, Exploratory Data Analysis and Data Visualisation, among other functions. The analyst's job is to sift through historical data to understand the present state of the business.

 

A Data Scientist builds algorithms to solve business problems using statistical tools such as Python, R, SAS, STATA, Matlab, Minitab, KNIME, Weka etc. He also performs predictive modelling to facilitate proactive decision-making. Machine learning algorithms are used to build predictive models using Regression Analysis and a Data Scientist must develop expertise in Neural Networks and Feature Engineering.

 

A Data Engineer is essentially a programmer in Spark, Python and R and complements the role of a data scientist.

A Data Architect is entrusted with the task of establishing hardware and software infrastructure needed to perform Data Analysis. They have to select Hard Disk, Network Architecture, Databases, GPUs etc.

We offer end to end placement assistance to our students. We assist them in resume preparation and conduct several rounds of mock interviews. We circulate their resumes to reputed placement consultants with whom we have a long-standing agreement. Once placed we offer technical assistance for the first project on the job.

Business Analytics is the emerging field in data science. It is definitely worth pursuing a data analytics course after your MBA. You can specialize in Financial Analytics, HR Analytics or Supply Chain Analytics. Once you finish your data analytics course you can apply for the position of Business Analyst.

Jobs in the field of Data Analytics in Uppal

Jobs in the field of Data Analytics in Uppal

There are around 97000 vacant positions in data analytics in India. The opportunities for fresher account for 21 percent of analytics jobs in India. Employers are companies like Tech Mahindra, TCS, Genpact, Wipro, and HCL Infosystems.

Salaries in Uppal for Data analytics course

Salaries for Data Analytics Professionals in Uppal

The average salary of a Data Analyst in India is Rs.5 lacs per annum. A fresher can earn anywhere between Rs.1.62 to Rs.3.23 lacs, a junior analyst gets around Rs.4,51000 per annum while a Senior Data analyst earns Rs.7,74000 per annum.

Data Analytics training Projects in Uppal

Data Analytics Course Projects in Uppal

The Indian government has initiated several data analytics projects in the fields of Agriculture, Electricity, Water, HealthCare, Education, Road Traffic Safety and Air Pollution.

Role of Open Source Tools in data Analytics training in Uppal

Role Of Open Source Tools In Analytics

Python is easy to learn and maintain and therefore a Godsend to developers in Data Science. Its extended library makes it possible to stretch the applications of Python from Big Data Analytics to Machine Learning. R is the preferred tool of statisticians that enables effective data storage.

Modes of Training for Data Analytics training in Uppal

Modes of Training for Data Analytics Course

The course in Uppal is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Data Analytics training in Uppal

Industry Applications of Data Analytics Course

Data Analytics is used for securities fraud early warning, card fraud detection systems, demand enterprise risk management, analysis of healthcare information, seismic interpretation, reservoir characterization, energy exploration, traffic control and route planning.

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