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Data Science Course In Chennai – 100% Job Placement

Ficusoft Technologies offers You the100% placement and real-time projects guided by our experienced trainers to meet the needs of the Students.

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Overview - Data Science Course In Chennai

  • The process of generating insights from data is known as data science. It is the bridge between Data and Knowledge.
  • Data Science uses tools like Python, R, Excel, SAS, and Tableau to analyze data and produce actionable insights which can be used by different industry verticals including Healthcare, Banking, Finance, and so on.
  • Data Science is a very lucrative career path with huge job opportunities across many industries. Data science course in Chennai.
  • Data scientists are sought-after professionals who make sense of data so others to understand its meaning and use it more effectively.
  • With more than 1 million data scientists predicted to be needed by 2020, there has never been a better time to pursue a data science education or professional certification.
  • Ficusoft offers data science courses in Chennai with flexible timings that would suit your needs best.
  • Get trained in Data Science with Ficusoft’s expert faculty at an affordable cost without having to compromise on quality!
  • Don’t worry if you’re not from a computer science background, we have designed a data science course in Chennai in such a way that students from different backgrounds can learn it easily and explore their potential of becoming an expert in this field with our best training program.
  • Data Science is the most sought-after skill these days and with our training, you can get placements in MNC companies, and startups and also start your startup.
  • Ficusoft Technologies offers real-time projects guided by our experienced trainers to meet the needs of the Students. Upgrade your data science capabilities and skills to get a job in the field.
  • Ficusoft provides you with training with flexible time and affordable cost. So, what are you waiting for? Sign up today!
  • Real-Time Experts as Trainers

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    Who Are Data Scientists?

  • A data scientist is someone who uses statistical analysis, machine learning, and data mining to identify patterns in large sets of data, according to David Smith, author of Big Data for Dummies.
  • A data scientist is a person who applies techniques from the field of statistics and computer science to help organizations make sense of information.
  • Data scientists are people with a background in mathematics, computer programming, statistics, or a related scientific field. Data science course In Chennai.
  • They use their skills to build models that can be used to predict behaviour or events that have not yet occurred.
  • They work with companies that want to leverage big datasets (a very large collection of digital information) as well as various forms of artificial intelligence and machine learning technology.
  • Data Scientists also use data-mining algorithms to identify hidden insights which were previously unknown or hidden within the data.
  • They might identify purchasing patterns or interesting correlations. These methods are often implemented using various technologies. Data Science course in Chennai…
  • Data Scientist’s responsibilities include examining large amounts of data from different sources, and extracting meaningful information from it.
  • Analyzing the results to find connections between different variables, and determining how those correlations might affect future outcomes.
  • The role typically requires high levels of math knowledge including linear algebra and probability theory.
  • Certifiation

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    What Is Data Science?

  • Data Science is a subset of the broader field of analytics and business intelligence. Data Science is the study of data, what it means, how it works and how to extract value from it.
  • Data scientists work with data sets and use statistical algorithms to identify trends and other patterns that can be used for predictive purposes. Data science course in Chennai…
  • Data Science is an important skill for understanding how the world around us is changing. Data Science is a field of study that deals with the various aspects of data and its analysis.
  • Data can be in any form such as text, numbers, images, or sound. Data scientists employ statistical techniques to extract information from data, identify patterns and trends, and forecast future outcomes.
  • It is the applied branch of computer science, mathematics, and statistics. Data Science explores the answers to questions such as: What are people seeking? What will they consider buying?
  • How can I convince people to buy my goods?
  • Data Science’s applications include business intelligence and predictive analytics, sales forecasting, financial modelling, market segmentation, and customer behaviour prediction.
  • To Upgrade your Data Science capabilities and skills to get a job in the field. We provide you with training with flexible time and affordable cost. So what are you waiting for? Just enrol now!
  • Flexibility

    Placement Support

    Certifiation

    Why Learn Data Science?

    1. Data Science is a vast field with the potential to create new industries and revolutionize existing ones. 

    2. The demand for qualified Data Scientists is rising rapidly, but there aren’t enough people with the skills. Data Science course in Chennai…

    3. The demand for qualified Data Scientists is rising rapidly, but there aren’t enough people with the skills. 

    4. It’s never been easier to learn data science than it is today! Data science course in Chennai…

    5. Data Scientist is one of the highest-paying jobs today, with demand only continuing to rise! 

    6. Data Science is a highly-in-demand skill! Companies are desperate for skilled individuals who can solve their data-related problems. 

    7. Ficusoft Technologies offers 100% placement and real-time projects guided by our experienced trainers to meet the needs of the Students.

    8. Ficusoft provides you with training with flexible time and affordable cost. Data science course in Chennai…

    Upgrade your Data Science capabilities and skills to get a job in the field. Come to us at Ficusoft Technologies (the institute) and learn from experts from various fields.

    Affordable Fees

    Types Of Data Science

    There are numerous varieties of data science that are as follows:

    1. Computational Statistics: includes the use of statistical methods to solve problems that involve intensive computation, especially problems that cannot be solved on a computer otherwise.

    2. Machine Learning: can be described as a set of techniques for making predictions from data and for finding patterns in large sets of data or data streams. Data Science c in Course in Chennai.

    Also, including classification tasks (deciding what category something belongs to), clustering tasks (grouping things into related categories), and regression tasks (predicting how likely something is to occur).

    3. Artificial Intelligence: involves the creation and study of computer systems with properties. 

    Also, that resemble those traditionally ascribed to human intelligence, such as problem-solving ability, knowledge representation, learning and adaptation, and natural language processing.

    4. Predictive Analytics: it refers to the process of analyzing current and historical information about individuals and entities. 

    Usually big data sets such as customer transactions, store purchases, social media interactions, etc., 

    Using predictive models which have been derived using machine learning algorithms. 

    The most common type is predictive modelling which seeks to find correlations among various features within a data set. Data science course in Chennai…

    5. Social Media Analytics: includes analytics involving the collection, analysis, and use of data from social networks, blogs, forums, etc. for purposes such as research, marketing, or relationship building.

    We at Ficusoft provide you with extensive hands-on practical training experience along with 100% placement assistance in Data Science Course in Chennai at Ficusoft to meet your needs!

    Flexibility

    Main Components Of Data Science

    Data Science is a new field of study that has emerged due to the recent exponential growth of Data. 

    Data Science deals with extracting value from data and using it to create predictive models, segmentation, and other analytical products. 

    It can be applied to any industry but is most common in finance, marketing, retail, healthcare, and sport. Data science course in Chennai…

    The four main components of Data Science are:
    1) data acquisition: acquiring large datasets.

    2) data cleaning: cleaning datasets of errors and inconsistencies.

    3) data modelling: performing mathematical operations on datasets to analyze and transform them into understandable formats.

    4) communicating results: Data Science is also commonly used synonymously with predictive analytics, but predictive analytics actually encompasses only a small subset of Data Science. 

    Predictive modelling isn’t concerned with cleaning or communicating results; instead, it focuses on making predictions about future behaviour based on past data. 

    It’s often used for marketing applications and by companies that deal with large datasets. Data science course in Chennai…

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    Benefits Of Data Science

    1. Data Science is an emerging field that promises to transform the way we live, work, and interact. Data science course in Chennai.

    2. Data Science is a multi-disciplinary field, which requires expertise from many different domains including Statistics, Mathematics, Computer Science, and Engineering.

    3. It provides a set of powerful tools to extract knowledge and insights from data in order to identify patterns and trends that can be used for decision-making purposes.

    4. It has gained traction as a result of Big Data, which is a collection of data sets so large and complex that it becomes difficult to process using traditional data processing applications.

    5. Data Science uses data mining, statistics, and machine learning algorithms to find patterns and generate models that make accurate predictions. Data Science Course In Chennai…

    6. The emphasis on big data emphasizes its importance in areas like medicine, education, business intelligence, and fraud detection.

    7. For example, some companies have started using Artificial Intelligence (AI) or Machine Learning (ML) techniques to predict customer behaviour with 80% accuracy levels or higher.

    Why Choose Ficusoft To Learn About Data Science?

  • Data Science is one of the most sought-after skills, and learning data science can help you a lot.
  • We at Ficusoft Technologies, have been training students who have come up with a complete Data Science Course in Chennai to guide and train you on Data Science.
  • Our trainers are highly skilled professionals who are well trained to cover every aspect of Data Science to a great extent that you gain full knowledge about Data Science.
  • Moreover, it will let you get equipped with all sorts of tools like R, Python & Hadoop platforms, etc., that are used for handling Big data sets. Data Science course in Chennai…
  • With our expert help and hands-on sessions, we train you thoroughly and make sure that each student gets what they paid for! This way they can confidently face interviews and grab jobs easily!
  • Learn Data Science is not hard but you need to put in some hard work to become good at it. Ficusoft offers 100% placement and real-time projects guided by our experienced trainers to meet the needs of the Students.
  • Learning Data Science would give you an edge over other candidates during your interview rounds as hiring managers look for candidates who are knowledgeable about this domain.
  • Data science courses in Chennai provide an excellent opportunity for anyone looking forward to investing time into their career and making it successful. Data science course in Chennai…
  • The data science courses in Chennai from Ficusoft include many aspects such as artificial intelligence, natural language processing, etc., which makes them unique from other institutes offering courses in data science.
  • Whether you are a beginner or have little knowledge of data science, these courses in data science would be ideal for you.
  • You may enrol in these courses for just 3 months and know the entire fundamentals of data science with hands-on experience along with job assistance where required.
  • As Data Scientist’s remuneration varies according to different industries. Data Science course In Chennai…
  • Ficusoft also guides students about available opportunities after completing Data Science Courses in Chennai through various networking events.
  • How To Be Certified In Data Science?

  • Data Science certification is a must-have for any aspiring data scientist. It will help you to get a good job with more salary and perks.
  • Also, having a Data Science certification would differentiate your resume from other candidates who just have bachelor’s degrees or even master’s degrees. Data science course in Chennai.
  • This Data Science Certification program has been specially designed to equip you with data management, data analysis, and business intelligence skills.
  • To attend these courses, there is a prerequisite. However, if you are looking for advanced certification in data analytics and statistical inference techniques then you need a bachelor’s degree in mathematics or statistics.
  • If you already have this qualification, the entrance exam will evaluate your knowledge level and recommend the best course. Data science course in Chennai…
  • Ficusoft Technologies offers placement training and job-oriented projects from experts to students so that they can get jobs as soon as possible after the completion of the training program.
  • The placements are oriented according to the area of specialization: Business Intelligence, Machine Learning, Statistics, and more. Our trainers will provide real-time projects for our students based on their own needs.
  • In addition, we offer project work that is focused on the latest technology trends like Cloud Computing & Big Data Analytics. Data science course in Chennai…
  • We also guide our students in applying machine learning, cloud computing, and big data technologies through different use cases. The training duration is flexible (we also offer weekend batches) at an affordable cost.
  • You can upgrade your analytical capabilities to meet the needs of today’s employers through this program which has an industry-recognized certificate.
  • With many high-profile recruiters attending our campus interviews, it will be easy for you to find a good match among them! Data science course In Chennai.
  • Career Options After Completing Data Science

    • After completing a data science course, you will be able to find a job as a Data Scientist or Data Engineer. You can also do the following…
    • Become an analytics consultant.
      Pursue an advanced degree in data analytics or data engineering.
    • Become a business intelligence analyst. Data science course in Chennai.
      Become an associate professor at a higher education institution or university.
    • Explore options in entrepreneurship and work on their own start-up ventures. Data science course in Chennai.
    • Become a statistician with the U.S. Census Bureau, Bureau of Labor Statistics, or other research organizations that conduct statistical analysis on behalf of governments and businesses.
    • Work for data visualization and data communication companies, such as Tableau, IBM Watson Analytics, Zillow Group’s Zillow Research Team, and Domo.
    • Join the ranks of machine learning engineers (ML) who are responsible for developing the algorithms that power applications like Apple Siri and Google Now.
    • Explore careers in academia at colleges/universities where they may teach courses on quantitative subjects related to statistics and math. Data science course in Chennai…
    • Provide predictive analytics services to help businesses develop efficient marketing strategies based on past consumer behaviour.

    Frequently Asked Questions

    1. Why do I need Data Science skills?

    Data Science skills are valuable for both employers and job seekers. If you have Data Science skills, your resume will stand out from all other candidates, so you’ll have a higher chance of landing your dream job. 

    Also if you have Data Science skills, it can help you get your next dream job with more salary and better perks. Data science course in Chennai.

    2. What are the prerequisites for a Data Science course?

    You need some basic knowledge of programming, databases, and statistics. It’s important to get these basics right before you apply for a Data Science job or pursue a full-time Data Science career. 

    At Ficusoft Technologies, we help students acquire these prerequisites and make them skilled enough to get on-the-job training and become certified professionals with ease. Data science course in Chennai.

    3. How much time does it take to master Data Science skills?

    It depends on how fast you learn! If you have zero experience or just want to refresh your existing data science knowledge, then it will take anywhere between 2 weeks to 6 months based on your learning speed.

    4. How can I get support from our trainers?

    You can contact our representatives via email, phone calls, and live chat. Any questions you may have will be answered by us with pleasure. Data science course in Chennai.

    5. Do I need any previous data science background?

    No previous background is required. Our expert instructors teach you everything that you need to know to start your first project. 

    Ficusoft offers 100% placement and real-time projects guided by our experienced trainers to meet the needs of the Students. Contact us now to know more about the course details

    Data Science Course Syllabus

    What Is Data Science ?

    Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.

    Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges.

    What Is Data Science ?

    Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.

    Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges.

    What Is Data Scientist ?

    Components Of Data Science
    Data (and Its Various Types)
    The raw dataset is the foundation of Data Science, and it can be of various types like structured data (mostly in a tabular form) and unstructured data (images, videos, emails, PDF files, etc.)
    Programming (Python and R)
    Data management and analysis is done by computer programming. In Data Science, two programming languages are most popular: Python and R.
    Statistics and Probability
    Data is manipulated to extract information out of it. The mathematical foundation of Data Science is statistics and probability. Without having a clear knowledge of statistics and probability, there is a high possibility of misinterpreting data and reaching at incorrect conclusions. That’s the reason why statistics and probability play a crucial role in Data Science.

    Skills required to become a data scientist include:

    Techniques
    ⦁ Mathematical Expertise: Data scientists also work on machine learning algorithms such as regression, clustering, time series etc which require a very high amount of mathematical knowledge since they themselves are based on mathematical algorithms.
    ⦁ Working with unstructured data: Since most of the data produced every day, in the form of images, comments, tweets, search history etc is unstructured, it is a very useful skill in today’s market to know how to convert this unstructured into a structured form and then working with them.

    Job Trends
    Jobs by Salary
    Nearly 46% of Data Scientists earn a salary between 6-15 LPA.

    Python – Programming Syllabus
    The Syllabus of will be framed as per the requirement of corporate. We are mainly concentrating in the following.
    Introduction to Python
    ⦁ Overview of Python- Starting with Python
    ⦁ Introduction to installation of Python
    ⦁ Introduction to Python Editors & IDE’s(Canopy, pycharm, Jupyter, Rodeo, Ipython etc…)
    ⦁ Understand Jupyter notebook & Customize Settings
    ⦁ Concept of Packages/Libraries – Important packages(NumPy,SciPy,scikit-learn,Pandas,Matplotlib,etc)
    ⦁ Installing & loading Packages & Name Spaces
    ⦁ Data Types & Data objects/structures (strings, Tuples, Lists, Dictionaries)
    ⦁ List and Dictionary Comprehensions
    ⦁ Variable & Value Labels – Date & Time Values
    ⦁ Basic Operations – Mathematical – string – date
    ⦁ Reading and writing data
    ⦁ Simple plotting
    ⦁ Control flow & conditional statements
    ⦁ Debugging & Code profiling
    Scientific distributions used in python for Data Science
    ⦁ Numpy, scify, pandas, scikitlearn etc
    Accessing/Importing and Exporting Data using python modules
    ⦁ Importing Data from various sources (Csv, txt, excel, access etc)
    ⦁ Database Input (Connecting to database)
    ⦁ Viewing Data objects – subsetting, methods
    ⦁ Exporting Data to various formats
    ⦁ Important python modules: Pandas
    Data Manipulation – cleansing – Munging using Python modules
    ⦁ Cleansing Data with Python
    ⦁ Data Manipulation steps(Sorting, filtering, duplicates, merging, appending, subsetting, derived variables,
    ⦁ sampling, Data type conversions, renaming, formatting etc)
    ⦁ Data manipulation tools(Operators, Functions, Packages, control structures, Loops, arrays etc)
    ⦁ Python Built-in Functions (Text, numeric, date, utility functions)
    ⦁ Python User Defined Functions
    ⦁ Stripping out extraneous information
    ⦁ Normalizing data
    ⦁ Formatting data
    ⦁ Important Python modules for data manipulation (Pandas, Numpy, re, math, string, datetime etc)
    Data Analysis – Visualization using Python
    ⦁ Introduction exploratory data analysis
    ⦁ Descriptive statistics, Frequency Tables and summarization
    ⦁ Univariate Analysis (Distribution of data & Graphical Analysis)
    ⦁ Bivariate Analysis(Cross Tabs, Distributions & Relationships, Graphical Analysis)
    ⦁ Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density etc)
    ⦁ Important Packages for Exploratory Analysis(NumPy Arrays, Matplotlib, Pandas and scipy.stats etc)
    Basic statistics & implementation of stats methods in Python
    ⦁ Basic Statistics – Measures of Central Tendencies and Variance
    ⦁ Building blocks – Probability Distributions – Normal distribution – Central Limit Theorem
    ⦁ Inferential Statistics -Sampling – Concept of Hypothesis Testing
    ⦁ Statistical Methods – Z/t-tests (One sample, independent, paired), Anova, Correlation and Chi-square
    ⦁ Important modules for statistical methods: Numpy, Scipy, Pandas

    Machine Learning
    Predictive Modeling – Basics
    ⦁ Introduction to Machine Learning & Predictive Modeling
    ⦁ Types of Business problems – Mapping of Techniques – Regression vs. classification vs. segmentation vs.
    Forecasting
    ⦁ Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning
    ⦁ Different Phases of Predictive Modeling (Data Pre-processing, Sampling, Model Building, Validation)
    Machine Learning Algorithms & Applications – Implementation in Python
    ⦁ Linear Regression
    ⦁ Segmentation – Cluster Analysis (K-Means)
    ⦁ Decision Trees (CART/CD 5.0)
    ⦁ Support Vector Machines(SVM)
    ⦁ Other Techniques (KNN, Naïve Bayes, )
    ⦁ Important python modules for Machine Learning (SciKit Learn, scipy, etc)
    Deep Learning
    ⦁ Artificial Neural Networks(ANN)
    Deep Learning Course Syllabus
    Convolutional Neural Networks
    ⦁ Invariance, stability.
    ⦁ Variability models (deformation model, stochastic model).
    ⦁ Scattering networks
    ⦁ Group Formalism
    ⦁ Supervised Learning: classification.
    ⦁ Properties of CNN representations: invertibility, stability, invariance.
    ⦁ covariance/invariance: capsules and related models.
    ⦁ Connections with other models: dictionary learning, LISTA.
    ⦁ Other tasks: localization, regression.
    ⦁ Embeddings (DrLim), inverse problems
    ⦁ Extensions to non-euclidean domains
    ⦁ Dynamical systems: RNNs.
    ⦁ Guest Lecture
    Deep Unsupervised Learning
    ⦁ Autoencoders (standard, denoising, contractive, etc etc)
    ⦁ Variational Autoencoders
    ⦁ Adversarial Generative Networks
    ⦁ Maximum Entropy Distributions

    Miscellaneous Topics
    ⦁ Non-convex optimization for deep networks
    ⦁ Stochastic Optimization
    ⦁ Attention and Memory Models
    ⦁ Open Problems
    Artificial Intelligence Course Syllabus
    Artificial Intelligence is a changing technology and hence the syllabus is updated such that we deliver the latest and best. Algorithms and data are the key to artificial intelligence and we teach you the importance of them.
    ⦁ Artificial intelligence fundamentals
    ⦁ Computational mathematics for learning and data analysis
    ⦁ Machine learning
    ⦁ Human language technologies
    ⦁ Parallel and distributed systems: paradigms and models
    ⦁ Intelligent Systems for pattern recognition
    ⦁ Algorithm engineering (KD)
    ⦁ Data mining (KD)
    ⦁ Mobile and cyber-physical systems (ICT)
    ⦁ Real-time Data Warehouse migration
    ⦁ Information retrieval (KD)
    ⦁ Social and ethical issues in computer technology
    ⦁ Computational neuroscience (ING)
    ⦁ Robotics
    ⦁ Semantic web

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