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Data Science Training in Guwahati

Rated #1 Recognized as the No.1 Institute for Data Science Training in Guwahati

Kickstart your career with Data Science Training in Guwahati! Master key data science techniques, machine learning, and data visualization through hands-on training in Data Science

This Data Science course in Guwahati is designed for professionals looking to enhance their data science and analytics skills. Learn Data Science certification how to analyze large datasets, build predictive models, and implement machine learning algorithms to solve real-world problems.

Unlock exciting career opportunities in data science, AI, and business analytics.
Gain practical experience with real-world datasets and machine learning projects.
Access affordable, industry-recognized Data Science Certification Training with placement.
Master essential data science techniques to accelerate your career in the booming field of AI.
Join thousands of learners who have transformed their careers with Data Science placement.
Take Data Science course Training in Guwahati today and become proficient in decision-making!

Join our Leading Data Science Course in Guwahati to build strong, career-ready data skills.
Select a training schedule that matches your routine-Weekday, Weekend, or Fast-Track options.
Receive expert guidance for your resume, interview preparation, and long-term career growth.
Earn your Data Science certification in Guwahati with full placement and career assistance.

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65+ Hrs.

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LMS

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10k+ Placed Students Download Curriculum Interview Questions

Quality Training With Affordable Fee

⭐ Fees Starts From

INR ~~38,000~~

INR 18,500

Our Hiring Partners

Play a design role and participate in IT companies.

The field of data science is a relatively new one, and this course examines the crucial tools and concepts needed, including machine learning, statistical analysis, and working with data at scale.
In the following sections, we will discuss the entire data science process as well as the various roles and skills required. Afterwards, you'll learn how to obtain data from different sources, including web APIs and pages scraped from the internet.
Learn how to work with data using tools like R, Python, the command line, and even spreadsheets.
Throughout the course, you will be provided with the ultimate toolkit for a data science career. An overview of the field and its different career paths will be provided, such as Product Analyst, Data Engineer, Data Scientist, and many others.
Several world-renowned technology companies will contribute to this course, including Amazon, Square, Facebook, Google, Microsoft, AirBnB, and more!
For each question in the course, detailed explanations and solutions will be provided. It also provides you with the opportunity to prepare for exams and serve as a reference while working.
You must be familiar with the following topics if you want to pass the interview.
With this curriculum, students will understand the subject better. Through our program, we help students prepare for job interviews and find employment with reputable companies.
START YOUR CAREER WITH DATA SCIENCE COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!

What You'll Learn From Data Science Training

The Data Science Course in Guwahati is ideal for new hires as well as working professionals wish to learn data skills from the beginning.

You will learn Python, SQL, Machine Learning and tools like Power BI and Tableau to work with and understand data better.

This course teaches you to find patterns in data, solve real problems and make smart business decisions.

You’ll get practical experience by working on live projects with the help of expert trainers.

Your IT Career Starts Here

550+ Students Placed Every Month!

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Other Categories Placements

Non-IT to IT (Career Transition) 2371+
Diploma Candidates3001+
Non-Engineering Students (Arts & Science)3419+
Engineering Students3571+
CTC Greater than 5 LPA4542+
Academic Percentage Less than 60%5583+
Career Break / Gap Students2588+

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Upcoming Batches For Classroom and Online

Weekdays

08 - Dec - 2025

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Weekdays

10 - Dec - 2025

08:00 AM & 10:00 AM

Weekends

13 - Dec - 2025

(10:00 AM - 01:30 PM)

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Who Should Take a Data Science Training

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Diploma Holders

Professionals from Other Fields

Salary Hike

Graduates with Less Than 60%

Job Roles For Data Science Course

Data Scientist

Data Analyst

ML Engineer

Data Engineer

BI Analyst

Statistician

AI Engineer

Decision Scientist

What’s included ?

📊 Free Aptitude and Technical Skills Training

Learn basic maths and logical thinking to solve problems easily.
Understand simple coding and technical concepts step by step.
Get ready for exams and interviews with regular practice.

🛠️ Hands-On Projects

Work on real-time projects to apply what you learn.
Build mini apps and tools daily to enhance your coding skills.
Gain practical experience just like in real jobs.

🧠 AI Powered Self Interview Practice Portal

Practice interview questions with instant AI feedback.
Improve your answers by speaking and reviewing them.
Build confidence with real-time mock interview sessions.

🎯 Interview Preparation For Freshers

Practice company-based interview questions.
Take online assessment tests to crack interviews
Practice confidently with real-world interview and project-based questions.

🧪 LMS Online Learning Platform

Explore expert trainer videos and documents to boost your learning.
Study anytime with on-demand videos and detailed documents.
Quickly find topics with organized learning materials.

Curriculum

Syllabus of Data Science Course in Guwahati

Module 1: Introduction to Data Science with R

What is Data Science, significance of Data Science in today’s digitally-driven world, applications of Data Science, lifecycle of Data Science, components of the Data Science lifecycle, introduction to big data and Hadoop, introduction to Machine Learning and Deep Learning, introduction to R programming and R Studio.
Hands-on Exercise - Installation of R Studio, implementing simple mathematical operations and logic using R operators, loops, if statements and switch cases.

Module 2: Data Exploration

Introduction to data exploration, importing and exporting data to/from external sources, what is data exploratory analysis, data importing, dataframes, working with dataframes, accessing individual elements, vectors and factors, operators, in-built functions, conditional, looping statements and user-defined functions, matrix, list and array.
Hands-on Exercise -Accessing individual elements of customer churn data, modifying and extracting the results from the dataset using user-defined functions in R.

Module 3: Data Manipulation

Need for Data Manipulation, Introduction to dplyr package, Selecting one or more columns with select() function, Filtering out records on the basis of a condition with filter() function, Adding new columns with the mutate() function, Sampling & Counting with sample_n(), sample_frac() & count() functions, Getting summarized results with the summarise() function, Combining different functions with the pipe operator, Implementing sql like operations with sqldf.
Hands-on Exercise -Implementing dplyr to perform various operations for abstracting over how data is manipulated and stored.

Module 4: Data Visualization

Introduction to visualization, Different types of graphs, Introduction to grammar of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), making a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, multivariate distribution, Bar-plots for categorical variables using geom_bar(), adding themes with the theme() layer, visualization with plotly package & building web applications with shinyR, frequency-plots with geom_freqpoly(), multivariate distribution with scatter-plots and smooth lines, continuous vs categorical with box-plots, subgrouping the plots, working with co-ordinates and themes to make the graphs more presentable, Intro to plotly & various plots, visualization with ggvis package, geographic visualization with ggmap(), building web applications with shinyR.
Hands-on Exercise -Creating data visualization to understand the customer churn ratio using charts using ggplot2, Plotly for importing and analyzing data into grids. You will visualize tenure, monthly charges, total charges and other individual columns by using the scatter plot.

Module 5: Introduction to Statistics

Why do we need Statistics?, Categories of Statistics, Statistical Terminologies,Types of Data, Measures of Central Tendency, Measures of Spread, Correlation & Covariance,Standardization & Normalization,Probability & Types of Probability, Hypothesis Testing, Chi-Square testing, ANOVA, normal distribution, binary distribution.
Hands-on Exercise -– Building a statistical analysis model that uses quantifications, representations, experimental data for gathering, reviewing, analyzing and drawing conclusions from data.

Module 6: Machine Learning

Introduction to Machine Learning, introduction to Linear Regression, predictive modeling with Linear Regression, simple Linear and multiple Linear Regression, concepts and formulas, assumptions and residual diagnostics in Linear Regression, building simple linear model, predicting results and finding p-value, introduction to logistic regression, comparing linear regression and logistics regression, bivariate & multi-variate logistic regression, confusion matrix & accuracy of model, threshold evaluation with ROCR, Linear Regression concepts and detailed formulas, various assumptions of Linear Regression,residuals, qqnorm(), qqline(), understanding the fit of the model, building simple linear model, predicting results and finding p-value, understanding the summary results with Null Hypothesis, p-value & F-statistic, building linear models with multiple independent variables.
Hands-on Exercise -Modeling the relationship within the data using linear predictor functions. Implementing Linear & Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple independent variables.

Module 7: Logistic Regression

Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit function and odds, Bi-variate logistic Regression, Poisson Regression, building simple “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold evaluation with ROCR, finding the right threshold by building the ROC plot, cross validation & multivariate logistic regression, building logistic models with multiple independent variables, real-life applications of Logistic Regression
Hands-on Exercise -Implementing predictive analytics by describing the data and explaining the relationship between one dependent binary variable and one or more binary variables. You will use glm() to build a model and use ‘Churn’ as the dependent variable.

Module 8: Decision Trees & Random Forest

What is classification and different classification techniques, introduction to Decision Tree, algorithm for decision tree induction, building a decision tree in R, creating a perfect Decision Tree, Confusion Matrix, Regression trees vs Classification trees, introduction to ensemble of trees and bagging, Random Forest concept, implementing Random Forest in R, what is Naive Bayes, Computing Probabilities, Impurity Function – Entropy, understand the concept of information gain for right split of node, Impurity Function – Information gain, understand the concept of Gini index for right split of node, Impurity Function – Gini index, understand the concept of Entropy for right split of node, overfitting & pruning, pre-pruning, post-pruning, cost-complexity pruning, pruning decision tree and predicting values, find the right no of trees and evaluate performance metrics.
Hands-on Exercise -Implementing Random Forest for both regression and classification problems. You will build a tree, prune it by using ‘churn’ as the dependent variable and build a Random Forest with the right number of trees, using ROCR for performance metrics.

Module 9: Unsupervised learning

What is Clustering & it’s Use Cases, what is K-means Clustering, what is Canopy Clustering, what is Hierarchical Clustering, introduction to Unsupervised Learning, feature extraction & clustering algorithms, k-means clustering algorithm, Theoretical aspects of k-means, and k-means process flow, K-means in R, implementing K-means on the data-set and finding the right no. of clusters using Scree-plot, hierarchical clustering & Dendogram, understand Hierarchical clustering, implement it in R and have a look at Dendograms, Principal Component Analysis, explanation of Principal Component Analysis in detail, PCA in R, implementing PCA in R.
Hands-on Exercise -Deploying unsupervised learning with R to achieve clustering and dimensionality reduction, K-means clustering for visualizing and interpreting results for the customer churn data.

Module 10: Association Rule Mining & Recommendation Engine

Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriori algorithm & implementing it in R, Introduction to Recommendation Engine, user-based collaborative filtering & Item-Based Collaborative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases.
Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on interesting discoveries.

Module 11: Introduction to Artificial Intelligence (self paced)

introducing Artificial Intelligence and Deep Learning, what is an Artificial Neural Network, TensorFlow – computational framework for building AI models, fundamentals of building ANN using TensorFlow, working with TensorFlow in R.

Module 12: Time Series Analysis (self paced)

What is Time Series, techniques and applications, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
Hands-on Exercise -Analyzing time series data, sequence of measurements that follow a non-random order to identify the nature of phenomenon and to forecast the future values in the series.

Module 13: Support Vector Machine - (SVM) (self paced)

Introduction to Support Vector Machine (SVM), Data classification using SVM, SVM Algorithms using Separable and Inseparable cases, Linear SVM for identifying margin hyperplane.

Module 14: Naïve Bayes (self paced)

what is Bayes theorem, What is Naïve Bayes Classifier, Classification Workflow, How Naive Bayes classifier works, Classifier building in Scikit-learn, building a probabilistic classification model using Naïve Bayes, Zero Probability Problem.

Module 15: Text Mining (self paced)

Introduction to concepts of Text Mining, Text Mining use cases, understanding and manipulating text with ‘tm’ & ‘stringR’, Text Mining Algorithms, Quantification of Text, Term Frequency-Inverse Document Frequency (TF-IDF), After TF-IDF.

Module 16: Case Study

This case study is associated with the modeling technique of Market Basket Analysis where you will learn about loading of data, various techniques for plotting the items and running the algorithms. It includes finding out what are the items that go hand in hand and hence can be clubbed together. This is used for various real world scenarios like a supermarket shopping cart and so on.

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Course Objectives

What is the prospect and scope of Data Science Training in Guwahati?

The potential for quantum computing and data science is big within the future. Machine Learning may also method the data abundant quicker with its accelerated learning and advanced capabilities. supported this, the time needed for finding advanced issues is considerably reduced. The role of the data scientist is currently a buzzworthy career. It's standing within the marketplace and provides opportunities for folks that study data science to create valuable contributions to their firms and societies at giant.

Why is it necessary to learn a Data Science Course?

Big data. Data scientists shrewdness to use their skills in maths, statistics, programming, and alternative connected subjects to prepare giant information sets. Then, they apply their knowledge to uncover solutions hidden within the information require on business challenges and goals. Data science is high in demand and explains however digital information is remodeling businesses and serving to them create chiseler and significant selections. therefore digital data is everywhere for folks that are trying to figure as a data scientist.

How will a Fresher begin a career in Data Science Certification?

Get comfy with Python
Learn information analysis, manipulation, and visualization with pandas
Learn machine learning with scikit-learn
Understand machine learning in additional depth
Keep learning and active

What are the Career Opportunities there with Data Science Online Training in Guwahati?

With the correct qualifications, you’ll get pleasure from a bright career outlook as a knowledgeable soul. The demand for people with these skills can still increase, and people already in data science roles are bound to see their salaries increase within the future. Data scientists work at intervals in most major industries wherever growth is occurring. Not only did IBM predict the demand for data scientists would grow by 28th in 2020, however, the Bureau of Labor Statistics considers data science within the prime twenty quickest growing occupations and has projected thirty-first growth over the following 10 years.

Who should learn the Data Science Course?

Data science groups have folks from various backgrounds like chemical engineering, physics, economics, statistics, mathematics, research, technology, etc. You'll realize several data scientists with a bachelor's degree in statistics and machine learning however it's not a demand to be told Data Science.

What are the advantages of learning a Data Science Certification?

The various edges of Data Science are as follows:

The abundance of Positions
An extremely Paid Career
Data Science is flexible
Data Science Makes information higher
Data scientists are extremely Prestigious

What are the tools utilized in the Data Science Certification?

Apache Spark
BigML
D3 MATLAB
Excel
ggplot2

What are the purposes of the Data Science Certification?

The key objective of Data Science is to extract valuable data to be used in the strategic higher cognitive process, development, analytic thinking, and statement. The key techniques in use are data processing, huge data analysis, data extraction, and data retrieval. The purpose of data science is to create the means for extracting business-focused penetrations from data. This requires an understanding of however worth and data flows in an extremely business, and therefore the ability to use that understanding to find business opportunities.

What skills are utilized in a Data Science Online Training in Guwahati?

One of the foremost necessary technical knowledge soul skills is applied math analysis and computing, mining, and process big data sets. This additionally includes extracting the info that's thought valuable. Some information scientists have a pH scale

Statistics
Programming Language R/ Python
Data Extraction, Transformation, and Loading
Data wrangle and information Exploration
Machine Learning And Advanced Machine Learning (Deep Learning)

What are the job opportunities after completing the Data Science Certification Course?

To name many, a number of the foremost common job titles for information scientists include:

Business analyst
Data Mining Engineer
Data designer
Data Scientist
Senior Data Scientist

What are the requirements for learning Data Science Certification?

Data science requires the basics of statistics and mathematics, which should be clear to be able to analyze the problems that are at hand. To solve business problems, you need to have soft skills like team management and control over the projects to meet the deadlines. You will find many data scientists with a bachelor's degree in statistics and machine learning but it is not a requirement to learn data science

Will Data Science requires coding background?

You need to possess knowledge of different programming languages, like Python, Perl, C/C++, SQL, and Java, with Python being the foremost common cryptography language needed in data science roles. These programming languages facilitate data scientists to organize unstructured data sets.6

Overview of Data Science Training in Guwahati

Data Science Training in Guwahati allows Techies, creatives, and organization professionals all have a place in Data Science . There are such lots of paths you can take; it's far wonderful to take note of one or topics that you excel, and then examine extra from there. There is a Digital Skills Gap: According to this report, there is a developing name for humans with digital skills, specially for those withinside the middle-income bracket, specially mild skills. This hollow is most tremendous withinside the . So, even if you are actually now no longer a whole techie, keeping up with ongoing Training in this area is a high-quality wager for the foreseeable future.

Data Science and marketing is a growing place, and our Data Science and marketing Training business enterprise lets in you to emerge as a outstanding digital marketer. Professionals withinside the Data Science and marketing place have created the direction syllabus for our Data Science and marketing courses. Accreditation in Bing Ads, Google Analytics, and Twitter Marketing are a number of the most in-name for Data Science and marketing certification examinations. For this Data Science Course, we offer every live in-class and on line Training to our students. With this Data Science and marketing Training, you can get preserve of the most updated direction materials.

Additional Info

About of Data Science:

Data technological understanding continues adapting as one of the most encouraging and in-name for expert paths for expert professionals. Today, achievement statistics professionals apprehend that they want to reinforce past the traditional skills to examine large portions of statistics, statistics mining, and programming skills. To locate useful intelligence for their organizations, statistics scientists want to comprehend the general spectrum of the statistics technological understanding life cycle and personal a diploma of flexibility and understanding to maximise returns at each phase of the process.

It is the approach of attracting leads with the resource of the usage of presenting content material fabric that is beneficial to them and will organically bring about engagement. What this shows is that we are talking about inbound marketing and marketing they focus on generating content material fabric that your audience, the humans you want to achieve might like, discover interesting, applicable, educative, or enlightening. When they consume your content material fabric; videos, photographs, or audio they get drawn in your brand because of the reality you’ve given them some stages of data that they already like.

Roles and Responsibilities Data Science:

Data is everywhere and expansive. A form of terms related to mining, cleaning, studying, and interpreting statistics are frequently used interchangeably, but, they may include one-of-a-type expertise gadgets and complexity of statistics.

1. Data Scientist Data scientists examine which questions need answering and in which to find out the related statistics. They have industrial organization acumen and analytical skills further to the capability to mine, clean, and present statistics. Businesses use statistics scientists to deliver, manage, and take a look at large portions of unstructured statistics. Results are then synthesized and communicated to key stakeholders to strain strategic decision-making withinside the agency. Skills needed: Programming skills (SAS, R, Python), statistical and mathematical skills, storytelling and statistics visualization, Hadoop, SQL, device learning

2. Data Analyst Data analysts bridge the gap among statistics scientists and industrial organization analysts. They are provided with the questions that need answering from a agency and then put together and take a look at statistics to find out outcomes that align with immoderate-diploma industrial organization strategy. Data analysts are liable for translating technical assessment to qualitative motion items and successfully talking their findings to severa stakeholders.

3. Data Engineer Data engineers manage exponential portions of abruptly changing statistics. The recognition on the development, deployment, manage, and optimization of statistics pipelines and infrastructure to transform and transfer statistics to statistics scientists for querying. Programming languages (Java, Scala), NoSQL databases (MongoDB, Cassandra DB), and frameworks are all required (Apache Hadoop)

Tools for statistics technological understanding:

Building, evaluating, deploying, and monitoring device learning models can be a complex process. That’s why there’s been a growth withinside the huge style of statistics technological understanding gear.
Data scientists use many styles of gear, but, one of the most, now no longer unusualplace is open deliver notebooks, which can be net applications for writing and walking code, visualizing statistics, and seeing the outcomes—all withinside the same environment.
Some of the most well-known notebooks are Jupyter, RStudio, and Zeppelin. Notebooks are very useful for venture assessment but have their barriers while statistics scientists need to artwork as a team. Data technological understanding systems were built to clear up this problem.
To determine which statistics technological understanding tool is right for you, it’s vital to ask the following questions: What shape of languages do your statistics scientists use? What shape of working strategies do they pick? What shape of statistics reasserts are they the use For example, some clients prefer to have a statistics deliver-agnostic service that uses open deliver libraries. Others pick the fee of in-database, device learning algorithms.

The Benefit of a statistics technological understanding platform

A statistics technological understanding platform reduces redundancy and drives innovation thru manner of method of allowing agencies to percentage code, outcomes, and reports. It receives rid of bottlenecks withinside the go with the drift of hard work thru manner of method of simplifying manage and incorporating extremely good practices.
In general, the extremely good statistics technological understanding systems cause to make statistics scientists greater green thru manner of method of supporting them to reinforce up and deliver models faster, and with a great deal much less error
Make it much less complex for statistics scientists to artwork with large volumes and styles of statistics
Deliver trusted, organization-grade artificial intelligence that’s bias-free, auditable, and reproducible
Data technological understanding systems are built for collaboration thru manner of method of pretty numerous clients such as expert statistics scientists, citizen statistics scientists, statistics engineers, and device learning engineers or professionals. For example, a statistics technological understanding platform might in all likelihood allow statistics scientists to put in models as APIs, making it clean to mix them into one-of-a-type applications. Data scientists can get right of entry to gear, statistics, and infrastructure at the same time as now no longer having to observe for IT.
The name for statistics technological understanding systems has exploded withinside the market. The platform market is expected to increase at a compounded annual rate of greater than 39 percentage over the subsequent few years and is projected to achieve $385 billion thru manner of method of 2025.

Eight Must-Have Skills for Data Scientists

Like most careers, the greater advanced your role, the greater suite of skills you’ll need to be a achievement. However, while looking at becoming a Data Scientist, there are certain skills you’ll need to be talented in regardless of your role.

1. Math and Statistics

Any right Data Scientist is going to have a strong foundation built on every math and data. Any industrial organization, specially those which can be statistics-driven, will count on a Data Scientist to apprehend the one-of-a-type techniques to data — such as maximum chance estimators, distributors, and statistical tests — to help make recommendations and decisions. Calculus and linear algebra are every keys as they’re every tied to device learning algorithms.

2. Analytics and Modeling

Data is handiest as right due to the fact the humans performing the analytics and modeling on it, so a expert Data Scientist is expected to have immoderate proficiency on this vicinity. Based on a foundation of every essential thinking and communication, a Data Scientist has to have the capacity to investigate statistics, run tests, and create models to accumulate new insights and are looking ahead to viable outcomes.

3. Machine Learning Methods

While having a expert diploma know-how of this vicinity isn’t continuously necessary, a diploma of familiarity can be expected. Decision trees, logistic regression, and further are key elements that device learning lets in and capacity employers can be searching out the ones skills.

4. Programming

To go with the drift from the theoretical into developing practical applications, a Data Scientist goals strong programming skills. Most agencies will count on you to recognise every Python and R, further to extraordinary programming languages. Object-oriented programming, number one syntax, and features go with the drift manage statements further to libraries and documentation all fall below neath this umbrella.

5. Data Visualization

Data visualization is a key detail of being a Data Scientist as you need to successfully speak key messaging and get buy in for proposed solutions. Understanding how to break down complex statistics into smaller, digestible quantities further to the use of an entire lot of seen aids (charts, graphs, and further) is one expertise any Data Scientist will need to be talented to reinforce profession-wise. Check out our Creating Data Visualizations with Tableau placed up to investigate greater about Tableau and why statistics visualization is so vital.

6. Intellectual Curiosity

At the coronary coronary heart of the statistics, technological understanding role is a deep hobby to clear up problems and find out solutions — specially ones that require some out of the field thinking. Data on its very personal doesn’t mean a whole lot, so a top notch Data Scientist is fuelled thru manner of method of a desire to apprehend greater about what the statistics are telling them, and the manner that facts can be used on a broader scale.

7. Communication

Data don’t speak with out someone manipulating it to do so, which means a effective Data Scientist wants to have strong communication skills. Whether it’s disseminating in your team what steps you want to conform with to get from A to B with the statistics, or giving a presentation to industrial organization leadership, communication should make all the differences withinside the very last outcomes of a project.

8. Business Acumen

For a Data Scientist to successfully use statistics in a way that’s good sized to their employer, there’s a diploma of industrial organization acumen that’s required. You need to apprehend the essential factor objectives and goals of the economic organization and the manner it influences the artwork you’re doing. Also, you moreover would possibly have the purpose to create solutions that meet one's goals in a cost-effective way, clean-to-placed into effect, and ensures massive adoption.

Data technological know-how Certification:

With a real-time Database task revel in supplied on the cease of the Data technological know-how course, this certification states that the candidate has obtained the crucial competencies to paintings as a Data technological know-how Developer. Providing that Data technological know-how certificates together with your resume on the time of the interview aids in prioritizing your profile and furthermore lets in you to get admission to pr ble professional opportunities.

Data technological know-how Certification Course in Toronto imparts the crucial ability devices which are required for a expert Data technological know-how Developer underneath the guidance of our Real-time experts. Data technological know-how Training in Toronto is supplied through a way of techniques of experts who've 8+ years of revel in in the Database Development platform. The worldwide certifications include – IBM Certified Database Administrator DB2, Oracle Database Certified Administrator, Oracle Certified Professional, MyData technological know-how Database Administrator, and Microsoft Data technological know-how Server database certifications.

Modules Of Data technological know-how:

Databases and relationships.
Data technological know-how commands and query tools are available.
Aggregating functions.
Sort the list via clause.
Tables and joins.
Subqueries.
Data manipulation.
Transactional manage.
Opinions and strategies are sides of the same coin.

Features Of Data technological know-how:

Earning this Microsoft get admission to-degree certification validates your know-how of records mind implemented in Microsoft Azure records services, which includes methods databases paintings with PostgreData technological know-how and MyData technological know-how.
This certification extends past Data technological know-how to illustrate your know-how of relational and non-relational records, in addition to records workloads.
The Oracle Database Data technological know-how Certified Associate Certification validates your know-how of essential Data technological know-how mind, it certainly is particularly essential while operating with the Oracle Database server.
The certification will display screen your know-how in Data technological know-how, records modeling, and table-use, amongst awesome things.
One certification examination should be passed.
IBM gives 3 Certified Database Associate Certifications for folks who need to illustrate their know-how of the Informix or Db2 relational database control systems.
There is the only examination required for the MyData technological know-how 5.7 Database Administrator Certification an amazing manner to verify your know-how in MyData technological know-how, an Oracle relational database control system.
The certification will display screen essential MyData technological know-how know-how which incorporates installation, configuration, and tracking of the database control system.
The PostgreData technological know-how 12 Associate Certification from EDB validates your know-how of the basics required to paintings with PostgreData technological know-how servers.
PostgreData technological know-how is a relational database that with out problems scales in massive organizations.

Data Scientists: Average Salaries:

Salary packages of statistics scientists rely upon their qualifications, performing roles, pastime profiles, and years of experience. The annual bundle deal of a more energizing usually lies amongst 6 lakh to 8 lakh in step with annum (as in step with Payscale.com). The table below consists of the not unusualplace sales packages supplied to one-of-a-type pastime roles of a Machine Learning Professional (as in step with Payscale.com)Data Science Training in Guwahati we will provide the best job for your further growth

Need customized curriculum?

Hands-on Real Time Data Science Projects

Project 1

Uber Data Analysis in R Project

Uber Data Analysis through Visualisations in R. Data storytelling is an important component of Machine Learning through which companies are able to understand.

Project 2

Driver Drowsiness Detection in Python Project

The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person's eyes are closed for a few seconds.

Project 3

Chatbot Project in Python

In this Python project with source code, we are going to build a chatbot using deep learning techniques and trained on the dataset which contains categories, pattern and responses.

Project 4

Handwritten Digit Recognition Project

The aim of this project is to implement a classification algorithm to recognize handwritten digits and pattern recognition that no single classifier performs the best.

Our Best Hiring Placement Partners

ACTE Guwahati offers arrangement openings as extra to each understudy/proficient who finished our study hall or internet preparing. A portion of our understudies are working in these organizations recorded underneath. We offers arrangement backing is probably the best assistance upon fruitful finish of any course from our institute we help the trained to land their fantasy position by giving placement opportunities.

We will schedule interview calls for applicants and prepare them for face-to-face contact after they have completed 70% of the Data Science training course material.
Work plan for the right contenders. absolutely an undertaking coordinated course, which covers the specific progress starting from the extraordinarily pressing and walk around the basic level and, thusly, it gives tremendous level of data in singular new development.
During the social gathering, implying this master accomplishment assertion on student continue has a huge impact and makes the constancy of understudy resume.it likewise improves it's anything but's a more broad level of work openings.
Our circumstance get groups together with over 600+ accomplices. Our outline specialists work with the total of our helpful understudies and firms like as HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, HDFC, AMAZON, PAYPAL, and others from one side.
We have separate applicants entryways for circumstance, here understudy will get all the get-together schedules and we brief understudy through messages.
We will make plans to conduct Mock Exams and Mock Interviews to find the skillful Candidate for our hiring partners.

Get Certified By MCSE: Data Management and Analytics & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

About Satisfactory Data Science Trainer

Our Data Science Training in Guwahati. Our mentor give a blend of class, instructor drove on the web, and E-learning decisions to ensure that competitors get changed training and advance their assumption to learn and change.
Our Data Science Training mentor are incredibly outfitted specialists with more than 9+ wide stretches of unsurprising position who are comprehensively seen as the best in the business and now serve for tremendous affiliations.
Our mentor give a blend of class, instructor drove on the web, and E-learning decisions to ensure that competitors get changed training and advance their assumption to learn and change.
Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science Training to the applicants.
Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
Latest interpretation Data Science Training accounts guaranteed and Complete plan of stories like live online social events.

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .

Course Syllabus

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Class Room
Online

Career Support

Placement Assistance

Exclusive access to ACTE Job portal

Mock Interview Preparation

1 on 1 Career Mentoring Sessions

Career Oriented Sessions

Resume & LinkedIn Profile Building

We Offer High-Quality Training at The Lowest Prices.

Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

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What Makes ACTE Training Different?

Feature

ACTE Technologies

Other Institutes

Affordable Fees

Competitive Pricing With Flexible Payment Options.

Higher Fees With Limited Payment Options.

Industry Experts

Well Experienced Trainer From a Relevant Field With Practical Training

Theoretical Class With Limited Practical

Updated Syllabus

Updated and Industry-relevant Course Curriculum With Hands-on Learning.

Outdated Curriculum With Limited Practical Training.

Hands-on projects

Real-world Projects With Live Case Studies and Collaboration With Companies.

Basic Projects With Limited Real-world Application.

Certification

Industry-recognized Certifications With Global Validity.

Basic Certifications With Limited Recognition.

Placement Support

Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

Basic Placement Support

Industry Partnerships

Strong Ties With Top Tech Companies for Internships and Placements

No Partnerships, Limited Opportunities

Batch Size

Small Batch Sizes for Personalized Attention.

Large Batch Sizes With Limited Individual Focus.

LMS Features

Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

No LMS Features or Perks.

Training Support

Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

Limited Mentor Support and No After-hours Assistance.

Data Science Course FAQs

Looking for better Discount Price?

Call now: +91-7669 100 251 and know the exciting offers available for you!

Does ACTE provide placement?

ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
More than 3500+ students placed in last year in India & Globally
ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
85% percent placement record
Our Placement Cell support you till you get placed in better MNC
Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions

Is ACTE certification good?

ACTE

Certificate

Certification is Accredited by all major Global Companies
ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS .

Work On Live Projects?

The entire Data Science training has been built around Real Time Implementation
You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
GitHub repository and Showcase to Recruiters in Interviews & Get Placed

Who are the Trainers?

All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.

What if I miss one (or) more class?

No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.

What are the modes of training offered for this Data Science Course?

We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Data Science Course At ACTE?

Data Science Course in ACTE is designed & conducted by Data Science experts with 10+ years of experience in the Data Science domain
Only institution in India with the right blend of theory & practical sessions
In-depth Course coverage for 60+ Hours
More than 50,000+ students trust ACTE
Affordable fees keeping students and IT working professionals in mind
Course timings designed to suit working professionals and students
Interview tips and training
Resume building support
Real-time projects and case studies

Can I Access the Course Material in Online?

Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.

What certification will I receive after course completion?

You will receive ACTE globally recognized course completion certification Along with project experience, job support, and lifetime resources.

How Old Is ACTE?

We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.

What Will Be The Size Of A Data Science Batch At ACTE?

We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science batch to 5 or 6 members

Will I Be Given Sufficient Practical Training In Data Science?

Our courseware is designed to give a hands-on approach to the students in Data Science. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.

How Do I Enroll For The Data Science Course At ACTE?

You can contact our support number at +91 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India