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Data Science Certification Course in Canberra

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  • Get Equipped with 11+ years of Certified Data Science Experts.
  • Learn the Several Extensive Data Science Concepts.
  • Most Unique Curriculum Outlined by Professional Data Science Tutors.
  • Support the candidates to get their Dream Job in Data Analytics.
  • Deals with 650+ Recruiting Clients for Providing the Best Interview Preparation Techniques.
  • Get Access for students Portal, Study Materials, Videos Lectures.
  • It’s a chance to Polish your career in Data Science – Enroll Your Name Now!

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Learn the Consequences of Data Science Certification Training in Canberra

  • This Data Science online course provides all the essential tools and knowledge necessary to become an accomplished Data Scientist.
  • Nearly 100% student satisfaction with over 300+ batches completed successfully.
  • Learn coding in Python and use it for statistical analysis, and get familiar with the mathematics of Machine Learning.
  • Get Trained from certified trainers from highly reputed multinational companies with over several years of experience in the industry.
  • Our trainers specialize in state-of-the-art Deep Learning frameworks like Google's TensorFlowDevelop, keeping you with the current trends of the job market.
  • We teach you how to apply these skills in real life through guided online practice sessions.
  • Tie-up & MOU with over 1000+ Small & Medium Corporate Companies to Support you with Opportunities to Kick-Start & Step-up your Career.
  • Learning Concepts: Data Science, significance of Data Science in today’s digitally-driven world, components of the Data Science lifecycle, big data and Hadoop, Machine Learning and Deep Learning, R programming and R Studio, Data Exploration, Data Manipulation, Data Visualization, Logistic Regression, Decision Trees & Random Forest, Unsupervised learning, Association Rule Mining & Recommendation Engine, Time Series Analysis, Support Vector Machine - (SVM), Naïve Bayes, Text Mining, Case Study.
  • START YOUR CAREER WITH DATA SCIENCE COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
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Course Objectives

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.

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.

  • 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
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.
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.
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
  • 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 Canberra?

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
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Overview of Overview of Data Science Course in Canberra

Certified Advanced Programmer with Data Science Mastery with Python online Course is a current Technological Program defensive your way to an assured exceptional career. It is a covered course directed with the useful resource of the usage of ACTE. Instructed with the useful resource of the usage of the industry’s pinnacle-notch Technical Experts & Founders, this software program software offers mentorship thru Data Experts and directs you to the Fortune 500 companies. The vision is to make the pinnacle-elegance companies discover the Right Talent. This Data Science with Python Training in Canberra.

software program software’s curriculum is comprehensively designed to help beginners to acquire records technological understanding talents at the same time as taking walks with hands-on responsibilities the use of wonderful generation like Python, MongoDB & Deep Learning methods. Join the league of Emerging Data Scientists who lease their pinnacle-notch abilities to find out pinnacle-notch dispositions and to control the records as analytical Data Experts

 

Additional Info

Introduction of Data Science With Python:

Python Data Science course lets you look at from scratch the mind of the most effective and permits preserve near crucial Python programming concepts, which consist of records processing, report operations further to object-oriented programming, and fantastic Python libraries, which consist of Pandas, Numpy, and Matplotlib. This course in Python for Data Science can also add even can help you draw near the numerous styles of gadgets learning, recommendation systems, and loads of more records technological expertise topics to begin your career in records technological expertise.

Data technological know-how is an interdisciplinary department of medical strategies, procedures, algorithms, and structures for the extraction of expertise or insights from records this is akin to records mining in extraordinary forms, prepared or unstructured. This is an ACTE Data Science Training in Canberra that gives you sizable expertise of records technological know-how, evaluation of records, undertaking lifestyles cycle, acquisition of records, analytical methodologies, and gadget training. Its sources have been measured withinside the area of technological know-how strategies, processes, algorithms, and structures to extract records or insights the usage of records prepared or unstructured, corresponding to records mining, in lots of formats.


Why I from examine a direction in records technological know-how?

  • Industry races aligned.
  • Online periods make certain brilliant involvement.
  • Expert running shoes which are properly acquainted with the topic.
  • A approach to case research that deeply examines the realistic utility of the principles.
  • Possibility to connect to a community of experts in records technological know-how.
  • Guidance of career.
  • Feasibility of undertaking work.

Future Scope Of Data Science With Python:

  • Our guides are designed to prevent preconditions and no previous experience. Masters of compulsory technical abilities for records scientists which consist of Python and cause and capabilities. You can also add even examine important libraries like scientists learning, Matplotlib, NumPy, and pandas along the course. Furthermore, in our Python records technological expertise course, find out all you need to understand about net scraping and SQL queries.
  • Most records technological expertise applications prevent their thinking about that they'll be the pleasant skills required to turn out to be a records scientist, but, we went a step beyond. To will assist you to stand glad for the crowd, we delivered minds much like the UNIX command line, Git, and Github to foster cooperation and efficiency. We at Dataquest recognize how tough it is to navigate a present-day professional course, therefore we educate uniquely. Our instructions are normally hands-on and engaging. Say goodbye to long, silly videos. With Dataquest, you'll be growing and walking of actual code regularly, verifying your new abilities.
  • If you get caught, we are going to will assist you to get decrease again on track. The records scientist curriculum is set up as follows: In this Data Science with Python Online Training in Canberra
  • Our career in Python records technological expertise includes a variety of guides, which incorporates an introduction to Python for beginners withinside the path of their careers to advanced Python for records technological expertise.
  • You will write actual code and reply to annoying conditions with the Data Science Certification online Course exercising as a manner to can help you draw near great talents preferred for records technological expertise. At the pinnacle of each session, you can give up a guided undertaking to apply your new abilities to offer capability employers on the equal time as constructing your portfolio.
  • Upon each Training, you can get a preserve of certificate which you can percentage or use to boost your résumé collectively at the element of your professional community.
  • You are armed with all the abilities which are probably needed to turn out to be a records scientist after the final touch of the entire software program software utility.

Advantages of Data Science With Python::

1. Simplicity:

The first difficulty that includes the mind while speak of Python's enchantment in programming and records technological expertise is its simplicity.

The inherent simplicity and accessibility of Python make it a beginner-fantastic language is one of the satisfactory developments. Its clean syntax offers shorter learning curves than most one-of-a-kind languages.

You want to deliver collectively software program software applications in Python a bargain faster than you may in all likelihood write in one-of-a-kind languages like C ++ or Java.

Python saves time via the way of allowing you to jump right into the examination while not having to spend hours studying documentation.

Python is now substantially used for statistical assessment, statistical assessment, net development, text processing, and lots of numerous duties.

2. Bibliotheques- for every need, there can be one:

While the simplicity of Python makes it the number one preference for many, its super library series makes it even more tempting to professionals withinside the records sciences. Over the years, the addition of libraries that further enlarge its talents has enriched Python.

3. Approach To Multiparadigm:

The proper feature about Python is that its miles a multi-paradigm programming language, withinside the vicinity of OOP languages. For example, you may want to deliver collectively a separate OO beauty in Java to print. Python offers functional, procedural, and object-based regular programming further to element-driven approaches, with a multi-paradigm approach.

4. Integration of Enterprise Software Program (EAI):
  • Python is a remarkable platform for the integration of business enterprise applications (EAI).
  • As already said, even in one-of-a-kind programming languages, Python is strongly covered in applications.
  • This makes the net development device plenty a great deal much less complex to mix with one-of-a-kind languages.
  • You also can moreover furthermore add, as an example, invoke components of CORBA/COM and communicate to Java, C++, and C code proper away and proper away.
  • Python's exceptional Java, C, and C++ interoperability make it a remarkable software program software utility scripting solution.
  • A python is also a beneficial tool for software program software utility software program finding out because of its strong text processing and integration talents.
  • t includes its unit finding out the framework and can moreover be used to create complex GUI pc apps.
5. The Jupyter Notebook is The fifth item At The list:
  • It is a free and open-deliver online tool that we can also additionally need to programmers jot down expressive code.
  • It helps you to offer your findings and integrate the outcomes (visualizations) withinside the same record as your code.
  • The Jupyter Notebook is one of the numerous services provided thru the Google Colaboratory that helps you to check free cloud services and high-not unusualplace regular usual overall performance GPUs for walking the Jupyter Notebook.
  • You also can moreover preserve your records and notes in your Google Drive as Google Colab is synchronized seamlessly with Google Drive applications.
the employer facts are extracted and loaded right into a Data Warehouse. The technique to extract, remodel, and cargo facts is a tough activity and takes several times.There are different ETL equipment like Pentaho, Oracle Data Integrator, Talend Data Integrator, Alteryx Analytics, and extra equipment.

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Industry Trends in Data Science With Python:

NumPy -

NumPy (numerical python) offers a strong N-dimensional array object due to the crucial laptop bundle deal in Python. There are about 18000 comments on GitHub and a colorful seven-hundred-man or woman community. It is an everyday array processing software program software utility with better flat devices called arrays and systems. In addition, NumPy in detail solves the sluggish downside via the way of offering such flat arrays due to the delivery of capabilities and operators with efficiency.

Matplotlib -

Matplotlib offers strong but visually appealing visualizations. It's a Python charting bundle cope with over 26,000 comments on GitHub and a thriving community of 7 hundred developers. It is regularly used for records highbrow because of the graphs and charts that it generates. It moreover has an object-oriented API in case you need to embody such graphs in your apps.

PyTorch -

PyTorch is a Python-based scientific computing bundle that offers the usage of the strength of snapshots processing devices and the following item withinside the list of the top Python libraries for records technological expertise. PyTorch is one of the most well-known profound learning systems for research designed to provide maximum flexibility and speed.

Tools Employed In Data Science with Python:

  • SAS
  • Tableau
  • TensorFlow
  • BigML
  • Knime
  • RapidMiner
  • Excel
  • Flink (Apache)
  • PowerBI
  • DataRobot
  • Julia
  • SPSS
  • MATLAB
  • MongoDB
  • Python
  • Trifacta
  • Minitab
  • Kafka (Apache)
  • QlikView
  • MicroStrategy
  • Hadoop is an acronym for Apache Hadoop
  • Google Analytics is a web analytics service
  • Spark is an acronym for Apache Spark

Benefits of Data Technological Understanding With Python:

  • A python is a clever language with large kinds of blessings withinside the vicinity of records technological expertise in Data Science with Python Training in Canberra.
  • In this bendy and normally evolving because of the fact, it is open-deliver.
  • Moreover, Python offers an array of beneficial libraries that may be blanketed similarly to present-day structures with one-of-a-kind languages (which consist of Java).
  • A python is an excellent tool in records technological expertise.
  • The first of Python's severa benefits in expertise is its simplicity.
  • Whereas great scientists come decrease again with a technological report or recognize fantastic programming languages, they've got severa statistical backgrounds, arithmetics, or one-of-a-kind techniques, and after stepping into the sector of expertise technological expertise they want to not have the maximum form of cryptography records.
  • Python's syntax is easy to examine and write, which makes it clean to start and examine rapidly.
  • If the sheer form of humans using Python is not enough to persuade you of its relevance in expertise technological expertise, probably the libraries available to make expertise technological expertise cryptography plenty a great deal much less hard can.
  • In Python, a library might be hard and speedy of modules with pre-built code to help with now no longer unusualplace region duties.
  • They allow the united states to gain from and rely on the hard artwork of others. Some expertise technological expertise sports activities are probably tough and time-consuming to code from scratch in one-of-a-kind languages.
  • In Python, there are various libraries available which consist of NumPy, Pandas, and Matplotlib to generate expertise cleaning, expertise assessment, expertise
  • seen snapshots, and tool gaining records.

Skills of Data Science with Python:

  • A proper records scientist's coding abilities, together with statistical records and the functionality to anticipate critically. Some of the records scientist skills required in records technological expertise as a manner to gain from excellent hobby possibilities are,
  • Machine Languages Employed In DataScience
  • Applied mathematics and records for R/Python/Java.
  • Hadoopand's artwork expertise Machine Learning & Neural Networks: SQL and NoSQL databases.
  • Knowledge of modern thought & business enterprise.
  • Visualizing Data.
  • Mining and assessment of records.
  • Mixing & Manipulation of Data.
  • Analysis and modeling of records.
  • Modeling predictive.
  • Data Analysis Python.

Certification Of Data Science With Python:

We give you a certificate of business enterprise-identified final touch with everlasting validity while you successfully give up the records technological expertise with Python course in Canberra. AnalytixLabs certification is substantially legit withinside the business enterprise, manner to our properly-installation vicinity expertise and fam give up customers withinside the united states and internationally. We want to preserve the honor of our accreditation device because of the satisfactory-beauty Data Science Institute.

You will pleasantly get preserve of a diploma after presenting compulsory undertaking artwork and assessing it quite as part of your training course. For one's duties and tasks, there is no bypass/fail. In case the assignments and tasks are not as actual a deal due to the date, trainees want to be invited to provide improvisation assist and useful sources. However, withinside the path of the assessment, no form of plagiarism is permitted.

Except for MCQ exams, there is no bypass/fail for one's duties and tasks. In the case of the dual certification software program software utility, you can have the possibility to bypass the MCQ tests. Our cause is to provide trainees precious hands-on revel in order that they'll be properly prepared for hobby interviews and perform successfully at their employment.

Pay Scale For DataScientist:

In the united states, DataScience with Python Certified professional's profits pledge begins offevolved offevolved offevolved from 15,678k. The combination of large records and records technological expertise improves the profits of a records analyst via a way of 26% in evaluation to the pleasant one vicinity in which he is competent. Between 9,1230k to 12,345k, SAS clients are compensated in evaluation to INR 78,897k earned thru SPSS professionals. Machine learning wages withinside us begins offevolved offevolved offevolved withinside the form of 345,67$ to transport as a good deal as 16 lakhs INR if your improvement in this sector. Python is one of the most advocated languages in ML, and Python developer salaries are a number of the pinnacles withinside us.

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Data Science Course Key Features

ACTE canberra offers Data Science Training in more than 27+ branches with expert trainers. Here are the key features,

  • One-on-one Doubt Clearance
  • Guaranteed Course Completion
  • Suitable for Beginners & Intermediate
  • Live training with Industry Professionals
  • Completed 500+ Batches
  • Resume Building & Job Orientation Training

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 and National Institute of Education (nie) Singapore.

Curriculum

Syllabus of Data Science Course in Canberra
Module 1: Introduction to Data Science with R
  • What is Data Science, the significance of Data Science in today’s digitally-driven world, applications of Data Science, elements 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 easy mathematical operations and logic victimization R operators, loops, if statements, and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, commerce and commercialism data to/from external sources, what is data exploratory analysis, data commerce, data frames, operating with data frames, accessing individual components, vectors and factors, operators, in-built functions, conditional, process statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual components of client churn data, modifying and extracting the results from the dataset victimization user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to duly package, choosing 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_fn(), sample_frac() & count() functions, obtaining summarized results with the summarize() function, Combining totally different functions with the pipe operator, Implementing sql like operations with self.
  • Hands-on Exercise -Implementing punctually to perform numerous operations for abstracting over however data is manipulated and stored.

Module 4: Data Visualization
  • Introduction to visualization, differing types of graphs, Introduction to synchronic linguistics of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), creating a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, variable distribution, Bar-plots for categorical variables victimization geom_bar(), adding themes with the theme() layer, visualization with portly package & building web applications with shiny R, 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 gives package, geographic visualization with ggmap(), building web applications with shiny R.
  • Hands-on Exercise -Creating data visualization to know the client churn ratio using charts using ggplot2, Portly for importing and analyzing data into grids. You'll visualize tenure, monthly charges, total charges and alternative individual columns by victimization the scatter plot.
Module 5: Introduction to Statistics
  • Why do we want Statistics?, Categories of Statistics, Statistical applied 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 applied 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, ideas 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 match 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 straight forwarding linear model, predicting outline 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 link at intervals within the data using linear predictor functions. Implementing Linear & provision Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple freelance variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit operate function and odds, Bi-variate logistic Regression, Poisson Regression, building straightforward “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold analysis 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 providing Logistic Regression.
  • Hands-on Exercise -Implementing prognosticative analytics by describing the data and explaining the relationship between one dependent binary variable and one or a lot of binary variables. You'll use glm() to create a model and use ‘Churn’ as the dependent variable. Module 8: Decision Trees & Random Forest
Module 8: Decision Trees & Random Forest
  • What is classification and totally 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 Naïve Bayes, Computing Possibilities, Impurity Function – Entropy, understand the ideas 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, realize 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’ because of the dependent variable and build a Random Forest with the proper of trees, victimization ROCR for performance metrics.
Module 9: Unsupervised learning
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriority algorithm & implementing it in R, Introduction to Recommendation Engine, user-based cooperative filtering & Item-Based Cooperative 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 fascinating discoveries.
  • 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, parts of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series statistic in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series of statistic data, sequence of statistic measurements that follow a non-random order to identify the nature of development and to forecast the future run values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification treatment using SVM, SVM Algorithms using mistreatment Separable and Inseparable cases, Linear SVM for characteristics margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What's Naïve Bayes Classifier, Classification Workflow, However Naïve Bayes classifier works, Classifier building in Simit-learn, building a probabilistic classification model using Naïve Bayes, Zero chance drawback Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to ideas 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 related to the modeling technique of Market Basket Analysis wherever you'll study about loading of data, numerous techniques for plotting the things and running the algorithms. It includes checking out what are the items that go hand in hand and thence will be clubbed together. This can be used for various real world eventualities like a supermarket shopping cart and so on.
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Get Hands-on Knowledge about Real-Time Data Science Projects

Project 1
Fake News Detection

The goal of this project is to create a real-time machine learning model determine the legitimacy of social media news.

Project 2
Forest Fire Prediction

To deal with such a calamity, a large sum of money must be spent on infrastructure, as well as control and handling.

Project 3
Road Lane Line Detection

In this project, lines placed on the road provide lane detection instructions to a human driver and detections.

Project 4
Driver Drowsiness Detection

The major goal of this project is to detect when a driver may become tired and fall asleep while driving.

Our Recruiting Partner for Placements

ACTE canberra offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with a dedicated Placement support team that provides the necessities of Learners on Hiring.
  • After completing the Data science Online Course, we will organize the interview calls to students & prepare them for F2F synergy.
  • We are associated with TOP IT resistant companies like HCL, Wipro, Dell, HP, Accenture, Google, CTS, TCS, IBM, etc. It makes us fit to put our applicants in top MNCs across the globe.
  • Data Science Trainers assist students in developing their resume matching the current industry needs
  • Trainers instruct the students in developing their skills matching the present enterprise essentials.
  • We will schedule Mock Exams and Mock Interviews to upskill the candidates' knowledge.

Get Certified in Data Science with Industry Recognized ACTE Certificate

ACTE Data Science Training Certificate is authorized by all Worldwide Organizations and all over the globe. After completion of the entire program will provide the certificates for both the candidates and the professional instructors. Our trainers helped the candidates to get certified the other certification like CCA and CCP are the top-level proving your advanced skills and deep knowledge of Machine Learning. ACTE Data Science Certification will enhance the significance of your resume. It will lead you to a wide range of opportunities in your Career Path. This Certificate will help you to adopt new skills in the development of advanced concepts of Data Science.

Our ACTE Instructors will help the students to grab the knowledge on Other Data Science Programming and trained them to get other certification which is listed below:

  • Dell EMC Proven Professional Certification Program
  • Certified Analytics Professional
  • SAS Academy for Data Science
  • Microsoft Certified Solutions Expert
  • Cloudera Certified Associate
  • Cloudera Certified Professional - CCP Data Engineer
  • Data Science Certificate
  • Amazon AWS Big Data Certification
  • Oracle Certified Business Intelligence

  • Knowing a few algorithms well is better than knowing about many algorithms and linear regression, k-means clustering, and logistic regression well, can explain and interpret their results.
  • Most of the time, once you use associate degree formula, it'll be a version from a library. You’ll rarely be implementations SVM concepts.
  • Adopt a resource from good study books and e-learning methods according to your exam preparation.
  • Join Our ACTE Data Science Training Course get communicate with our instructors will get an idea regarding the subject and schedule the study plan for the certification exam.

With Data Science Training certificate you will hire for the following jobs:

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager

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 Qualified Data Science Instructor

  • Our Data Science Training in canberra have certified professionals with 9+ years of experience currently working employees with organizations like Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • The trainers demonstrate many live projects for the training candidates during their training sessions.
  • Tutors will insist the candidates get placed in their respective companies through Employee referral or Internal Hiring Process.
  • Our ACTE tutors are industry-experts and subject specialists who have mastered running applications Providing to them
  • Our Mentors provide our learners with valuable insights into Interview scenarios and questions, as well as thorough Interview preparation and Soft Skills in Best Data Science Certification in canberra to the students.
  • ACTE Training Institute received prestigious awards for Data Science Training in canberra from recognized IT industries.

Data Science Course Reviews

Our ACTE canberra Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Nandhini

Student

ACTE is the best training institute for Data science and Data Analytics in BTM Layout. The trainers are well experienced and the methodology of teaching is top notch. They provide practicals along with theoretical sessions for complete understanding of the concepts. They even provide placement assistance after course completion as well.

Suresh Kumar

Software Engineer

ACTE is very good platform to achieve knowledge in depth and They are providing placement for getting Job my experience and i have completed Data Science course in canberra and ACTE was wonderful not only in terms of understanding the technology but also provides hands on practice to work on technology practically and the faculty is Extremely good and they help students in each and every way possible

Ebenazar

Best DATA SCIENCE training institute in Tambaram with Realtime client projects and dedicated support team. I have taken Data science training on this January and completely happy with their teachings, projects and job support after the course completion. It's a One stop destination for your data science And AI training in BTM Layout.

Illakiya

Student

ACTE for your career switch to Data Science..They have well experienced Trainers in ACTE who can make you industry ready. Curriculum is quite unique and includes current industry needs. They give very good job assistance also.

Tharani

Software Engineer

Its a good institute for Data Science in Porur. The teaching staff is good, they give us day wise assignments which helped me to hands on algorithms of machine learning and also provide us the backup classes. The access they provide is very helpful to listen the classes repeatedly. They provide good placement assistance. Thanks social ACTE team for your support and guidance.

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Data Science Course FAQs

Looking for great Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE training institute 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.
  • We have 85% percent of 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
    ACTE Gives Certificate For Completing A Course
  • 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 and National Institute of Education (NIE) Singapore
  • The entire Data Science training has been built around Real Time Implementation according to the Corporate firms.
  • 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
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.
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.
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
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
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.
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
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.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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Request for Class Room & Online Training Quotation

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