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Data Science Course in Akola

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Batch Timing

Regular: 3 Batches

Weekends: 2 Batches

 

 

Yes!! You are Eligible For This 100% Job Oriented Course

We invite you to attend the Best IT Course in Pune. We are happy to guide you step by step regarding this job-oriented course and the job placement benefits after completing the course.

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Lowest Course Fees

Free Study Material

100% Placement Assistance

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Software Development

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Career Opportunities

After completion of this course you will be able to apply for a job roles.

Data Analyst

Data Scientist

Data Scientist, IT

Solutions Architect

Development Operations (DevOps) Engineer

Senior Software Engineer

Data Engineer

Senior Systems Engineer

What IEC Offers you?

Certification

Our certificate courses have become renowned for their excellent curriculum and overall coverage of topics.

Live & Classroom Training (Real-time Instruction)

Combines the best of both traditional and modern learning approaches, offering a comprehensive educational experience.

LIVE Project

Our Live Project based training enables you to code and learn on the go. We are a one-of-a-kind training center to implement such a live training methodology.

Affordable Fees

It is necessary to provide affordable education to students and help them get quality training.

Learn from the Experts

The trainer’s knowledge and experience enable our students to learn precise skills with relative ease.

100% Placement Support

We have a separate Placement department that conducts regular placement drives for our students

Most Popular Employer Name for Candidates with a Data Science with R Certification

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Google, India

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IBM

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Microsoft

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Amazon

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AT&T

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Burger King

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UPS

Iteducationcentre in pune

Overview

Introduction to Data Science Course

The Data Science course provided by IT Education Centre will help you to become an expert in the Data science domain. You will have to research the basics in addition to advanced Data Science concepts from the fields of data, machine learning, programming, and incorporate them with Data Science. From the data science domain, you’ll learn about probability, regression, and inference, to name a couple. Machine learning will prepare you to design algorithms. SQL and Hadoop will allow you to deal with large volumes of information – access it, control it, and split it. Programming can help you put all of this into practice and derive the insights and outcomes you desire.

Proficiency After Training

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Learn all new aspects of Data Science.

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Understand the ecosystem of Data Science

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You will be able to work on file formats on different data.

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You will have a good understanding of Data Science Algorithms.

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You will be able to work on real time projects.

Data Science Classes in Akola

One of the fastest-growing fields offering excellent job prospects is data science. Successful data professionals now realize they need more than just the ability to analyze massive datasets, data mining expertise, and programming know-how to succeed in their fields. To help their companies find actionable insights, data scientists need to be well-versed in all aspects of the data science life cycle and possess the adaptability and depth of knowledge necessary to maximize returns at every stage.

To what end does a Data Scientist devote his or her time?
Data scientists have rapidly expanded in popularity over the past decade, and may now be found in nearly every industry. To manage and synthesize enormous amounts of information required to answer questions and drive strategy in their business, these professionals are well-rounded, data-driven, technically-adept people. This comes together with the communication and leadership skills necessary to produce real results for a company’s many constituents.

Data scientists need to have an insatiable appetite for learning and an obsession with results, as well as superior industry knowledge and the kind of communication abilities that let them break down complex technical findings for their non-technical colleagues. They are well-versed in programming with an emphasis on data warehousing, mining, and modeling and have a solid mathematical foundation in statistics and linear algebra, which allows them to construct and analyze algorithms.

Furthermore, they need to be proficient with essential technical resources and abilities such as:

R
Python
A Hadoop Distribution Using Apache Hadoop
MapReduce
Cloud Computing with Apache Spark
Databases that don’t use a standard relational format
Tech performed in the cloud
D3
Assembled Pig of the Apache
Tableau
Python notebooks in iPython
GitHub

Your Role in Data Science.
Extensive data is now available. The terms “data mining,” “data cleaning,” “data analysis,” and “data interpretation” are commonly used interchangeably, even though they may need distinct knowledge domains and levels of complexity.

Statistical Analyst
To obtain answers, data scientists first have to determine what questions need to be answered. They are well-versed in business and analytical practices, and can also mine, clean, and present data. Data scientists are employed by companies to collect, organize, and examine massive amounts of unstructured data. The findings are then summarized and shared with relevant parties to inform strategic planning and decision-making.

Skills in programming (SAS, R, Python), statistics, mathematics, data visualization, Hadoop, SQL, and machine learning are required.

Data Analyst
Between data scientists and business analysts, you’ll find data analysts. They are given the questions that need answering by a company and are tasked with organizing and analyzing the data to come up with answers that are in line with the company’s overarching business plan. The success of a data analysis team hinges on the data analyst’s ability to effectively communicate their findings to a wide variety of stakeholders from the technical study they perform.

Data scientists need expertise in programming (SAS, R, Python), statistics, mathematics, data wrangling, and data visualization.

Data Engineer
Engineers that work with data deal with data sets that grow exponentially and evolve quickly. Data pipeline and infrastructure experts design, implement, maintain, and optimize the processes through which raw data is cleaned, formatted, and delivered to data scientists for analysis.

Programming languages (Java, Scala), NoSQL databases (MongoDB, Cassandra DB), and frameworks all required (Apache Hadoop)

The Data Science Process: How Does It Function?
Data science integrates many fields of study to provide a comprehensive, detailed, and honed analysis of data. Some data scientists focus on a narrow subset of the field, but others are well-rounded generalists with expertise in data engineering, mathematics, statistics, high-performance computing, and visualizations who can efficiently sort through mountains of data and relay only the most relevant insights that will spur innovation and increase productivity.

Data scientists frequently rely extensively on artificial intelligence, especially its subfields of machine learning and deep learning, to develop models and make predictions using algorithms and other approaches.

There are five phases to data science, and they are as follows:
“Capture” refers to the act of gathering information, whether through observation, recording, or obtaining a signal.
Keep up with data management including storage, processing, architecture, and quality assurance.
Data modeling, data summarization, and data mining are all steps in this procedure.
Analyze – data reporting, data visualization, corporate intelligence, and decision-making.
Exchange information: techniques of statistical analysis such as exploratory and confirmatory testing, predictive modeling, regression, text mining, and qualitative research.

Competence in Data Science
The question, “What does a data scientist do?” does not have a universally applicable response. Accordingly, the specific sets of skills and tools required by data science experts vary widely from one position to the next.

However, some overarching skills will put budding and early-career data scientists on the path to success. Competence in areas such as:
Coding, specifically in Python and R.
Learning and using SQL to interact with databases is database management.
Statisticians must be able to interpret data and draw conclusions.
In addition to these hard talents, great data scientists typically have the following soft skills:

Insatiable want for knowledge; a constant drive to solve issues and expand one’s horizons.
The ability to weave together a narrative out of disparate pieces of information and communicate meaning.
Fluent talker who is at ease working in a team and explaining issues and solutions to others.
To advance into more niche areas of data science, such as deep learning, neural networks, or natural language processing, data scientists will need to acquire a broader set of knowledge and practice additional skills and methods.

Who Can Do this Course?

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Freshers

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BE/ Bsc Candidate

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Any Engineers

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Any Graduate

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Any Post-Graduate

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Working Professionals

Training Module

Fast Track Batch

Highlights

Session: 6 Hrs per day + Practical

Duration: 3 Months

Days: Monday to Friday

Practical & Labs: Regular

Personal Grooming: Flexible Time

 

Regular Batch

Highlights

Session: 1.5 Hrs per day

Duration: 3 Months

Days: Monday to Friday

Practical & Labs: Regular

Personal Grooming: Flexible Time

 

Weekend Batch

Highlights

Session: 4 Hrs per day

Duration: 8 Months

Days: Saturday & Sunday

Practical & Labs: As Per Course

Personal Grooming: Flexible Time

 

Frequently Asked Questions

In what ways may data science be most helpful?

Construct data models and algorithms for future prediction. Use machine learning methods to enhance the quality of data or products. Disseminate the recommendations to related groups and upper management. Analyze your data with R, SAS, Python, or SQL.

Is The Course Fees In My Budget?

Which four categories of information are used in data science?

Do you Provide Institutional Certification After the course?

Yes! We do provide Certification straight after completion of the Course

How About the Placement Assistance?

All the Courses Are Merged With Placement Assistance.

Is The Course Fees In My Budget?

We Are Committed For Lowest Course Fees in the Market

Which two types of data science are there?

There are two main types of data science: product-oriented and business intelligence-oriented.

Do We Get Practical Session For This Course?

Yes! This Course Comes With Live Practical Sessions And Labs

Is the Course Comes With Global Certification?

Sure! Most of our Course Comes with Global Certification for which you have to give Exam at the End of the Course

In data science, what tasks are most important?

Data science entails the following five steps:
Posing and honing the inquiry.
Analysis of the data.
Statistical inference through the construction of formal models.
Making sense of the findings.
Sharing the findings.

To what end is data science primarily concerned?

Building tools for mining data for actionable insights is central to the field of data science. This necessitates knowing how money and data move through an organization and being able to use that knowledge to spot profitable opportunities.

Check Out the Upcoming Batch Schedule For this Course

Satisfaction Guaranteed

24/7 help Desk

For any inquiry related to course, we have opened our portal, accept the requests, We assure to help within time.

Placement Department

we have Separate placement department Who are Continuously work on Company tie-ups and Campus requritment process

Money for a quality and Value

we have a policy under which we care for 100% job Assistance for each course until you got your dream job, Hence anyone can apply for learning with Quality

In-House Company Benefit

We have US Based In-house Company under IT Education Centre Roof, thus candidate will get Live project working Environment.

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