Batch

Weekend & Week Days

Software

80 + Tools

Syllabus

15+ Modules

Duration

1 Year

Course Fee

Rs. 1,25,000

Certificates

10+ Certificates

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Why we choose data science as career option

Data science stands out as an appealing career choice due to a convergence of factors that make it both rewarding and in high demand. At its core, data science involves extracting insights from large datasets using a blend of statistical analysis, machine learning algorithms, and domain expertise. Here are several reasons why pursuing a career in data science can be advantageous.
Firstly, the demand for data scientists continues to surge across industries. Companies recognize the immense value of data-driven decision-making and are actively seeking professionals capable of extracting actionable insights from complex datasets. This demand spans diverse sectors, including technology, finance, healthcare, retail, and manufacturing, creating abundant job opportunities for skilled data scientists.
Moreover, data science roles often come with attractive compensation packages, reflecting the specialized skills and expertise required. Data scientists typically enjoy lucrative salaries and benefits, making it a financially rewarding career option. Additionally, the field offers diverse opportunities for career growth and advancement, allowing individuals to specialize in areas such as machine learning, artificial intelligence, data engineering, and more.
Furthermore, data science enables professionals to engage in impactful work with real-world implications. By leveraging advanced analytics techniques and machine learning algorithms, data scientists can uncover patterns, trends, and insights that drive business outcomes and inform critical decisions. Whether it's optimizing supply chain operations, improving healthcare outcomes, or enhancing customer experiences, data science plays a pivotal role in driving innovation and societal progress.
Moreover, data science roles often provide flexibility in terms of work arrangements and remote work opportunities. With the rise of remote work trends, many companies offer flexible work arrangements, allowing data scientists to work from anywhere in the world. This flexibility not only improves work-life balance but also enables professionals to pursue their passions and interests outside of work.
Finally, the future prospects for data science professionals are promising, with the field expected to continue growing and evolving. As industries increasingly embrace digital transformation and leverage data-driven strategies, the demand for skilled data scientists is expected to rise further. This trend ensures that data scientists will remain in high demand and valued in the job market, providing long-term career stability and opportunities for growth and advancement.

Why WebMOk –

At Webmok, we offer a comprehensive and industry-relevant data science program designed to equip individuals with the skills and knowledge needed to excel in this rapidly evolving field. Our one-year course is meticulously crafted by experienced professionals, ensuring that students receive a holistic education that covers the latest techniques, tools, and technologies in data science.
What sets us apart is our commitment to quality education and practical learning experiences. Our team of seasoned experts brings years of hands-on experience in data science, enabling students to learn from real-world examples and case studies. Additionally, our well-established placement cells work tirelessly to connect our graduates with leading companies and organizations, providing them with valuable career opportunities upon completion of the program.
Moreover, at Webmok, we understand the importance of recognition and validation in today's competitive job market. That's why we offer a prestigious certificate upon successful completion of our data science course, empowering our students to showcase their expertise and credibility to prospective employers.
Whether you're a beginner looking to kickstart your career in data science or a professional seeking to upskill and stay ahead of the curve, Webmok is the ideal choice for your learning journey. Join us today and embark on a rewarding path towards success in the dynamic world of data science.

Module 1:Python

 Python Introduction  Python basics
 Python objects  Python variables
 Python datatypes  Python control statements             
 Python data structures  Python functions
 Python classes  Python lambda
 Python pip   Python Regex
 Python iterators  

Module 2 : File handling

 

 Open file   Read file
 Create new file  Write in file
 Delete file   

Module 3 : Python libraries

 Numpy  Pandas
 Matplotlib  Seaborn
 Plotly  Scipy
 Beautyfulsoup  Scrapy

Module 4 : Database

 Introduction to database  SQL basics
 SQL data types and constraints  MySQL database
 Create table  SQL joins
 SQL commands  Sql clauses
 Intro to NO SQL database  

Module 5 : Mathematical foundation for data science

 

 Overview of statistics  Advanced statistics
 Graph theory  Probability
 Conditional probability  Set theory
 Hypothesis testing  

Module 6 :     Data manipulation and analysis

 

 Advanced pandas  Plotting with pandas
 EDA(exploratory data analysis)  

Module 7 : Data visualization

 

 Basis understanding of graphs  Matplotlib
 Seaborn  Plotly

Module 8 : Machine Learning

 

 Intro to machine learning  Supervised ML
 Unsupervised ML  Semi supervised  ML
 Reinforcement ML  

Module 9 : Advanced machine learning and algorithms

 

 Linear regression  Polynomial regression
 Logistic ML algorithms  SVM(support vector machine)
 Decision tree  Random forest
 Naïve bayes  K-nearest neighbour
 K means clustering  PCA(principal component analysis)
 XGBoost  Gradient descent
 Feature selection techniques  

Module 10 : Feature engineering

 

 Introduction to Features Engineering  Transforming Predictors
 Feature Selection methods  Backward elimination technique
  Feature importance from ML modelling  

Module 11: NLP (natural language processing)

 Intro to NLP  Basics of NLP libraries and modules
 nLTK  spacy

Module 12: Deep learning 

 Introduction to Deep Learning   Introduction of Neural Networks 
 ANN (artificial Neural Network)   CNN (Convolutional Neural Network)
 RNN (Recurrent Neural Network)   Deep Learning Framework(Tensorflow,Keras,PyTorch)
 Tensorfolow  Keras
 Pytorch  

Module 13 : Big data

 Intro to big data  Big data tools
 Big data analytics  Hadoop ecosystem
 HDFS  Map reduce
 Hive  Pig
 Scoop  Oozie
 Spark  

Module 14 : Advanced data science

 Time series forecasting  ARIMA model
 ML model deployment with flask  

Module 15 : Cloud computing

 Intro to cloud computing  Intro to cloud computing platforms
 AWS (amazon web service)  microsoft -Azure
 GCP  

 

Module 16 : Computer vision

 Intro to computer vision  Image processing
 Image processing techniques  Feature extraction
 Image segmentation  Object detection
 Image restoration   Motion analysis

 

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IT World ke Uchit Gyan Aur Global Certifications se Banaiye Apni Mazboot Digital Pehchaan.


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WebMok se hi Kyon ? Innovative Designs, Robust Strategies, Aur Excellence Ka Commitment.


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Course Faqs


Beyond tech, we're creativity enthusiasts! Unleash innovation with our dynamic blend of tech and creativity!
    How will WEBMOK Data Science program be more effective than a Masters? I saw a few companies' JD today which mentioned that MS or PhD is required?

    Masters and Ph.D.s are typically asked for Research-focused data science roles. Most companies do not require a Master's degree for a Data Science role.

    Will there be help and facilities provided for writing research papers?

    For learners who show interest in publishing in the data science domain, we would be happy to provide mentorship and support.

    Does the WEBMOK community have people working outside India? I see a lot of good companies have data science teams outside India and I also wanted to work outside India.

    The WEBMOK community has people working worldwide. The bottleneck is in getting a visa sponsorship. Many companies based in India offer opportunities for their high-performing employees to work on international data science projects and relocate. Some international companies also hire directly in India and ask to relocate for jobs. However, with the surge in WFH, this trend may be ebbing. However, you can continue applying for remote data science jobs based outside India via LinkedIn.

    Is there WEBMOK community or forum where students can interact and collaborate with each other?

    Yes, there is a WEBMOK community where students can interact and collaborate with each other.

    What support channels are available for students to ask questions or seek help?

    WEBMOK offers multiple support channels for students, including community Slack and WhatsApp groups for collaboration, dedicated problem-solving support on the dashboard, and WEBMOK support through email, chat, and phone for any concerns or queries.

    How much will be the focus on maths as maths is the base for data science and machine learning?

    All the Maths required for understanding and implementing algorithms will be covered in this Data Science training (Probability, Statistics, Linear Algebra, Calculus, Coordinate Geometry).

    Is the data science course self-paced or instructor-led?

    WEBMOK data science program is instructor-led, ensuring you have guidance and support throughout your learning journey.

    What should I do if I find it challenging to balance my job or schedule with the class timings?

    If you find it challenging to balance your job or schedule with class timings, you can catch up by watching the recorded lectures OR we will schedule a timimg which is suitable for you accordingly.

    Can I access course materials and lectures even after the course is completed?

    Yes, you can access course materials and lectures for up to 6 months after completing the course.

    What happens if I miss a lecture in this online data science course?

    If you miss a lecture, you can still watch it ONLINE, and it won't affect your attendance.

    What is the credibility of WEBMOK Data Science certification?

    WEBMOK Data Science certification is highly regarded in the industry. It's recognized for its comprehensive curriculum and hands-on approach, making you job-ready.

    Can I get a Data Science course completion certificate even if I don't achieve a certain grade or score?

    No, you won't receive a Data Science course completion certificate without a certain grade or score, but you can obtain an enrollment document.

    What is the validity of WEBMOK's Data Science certification?

    WEBMOK Data Science certification is a lifetime certification, meaning it doesn't expire. Once you earn it, you can proudly showcase your expertise in data science throughout your career.

    How do I earn WEBMOK's Data Science certification?

    To earn WEBMOK Data Science certification, you need to successfully complete all the required course modules, assignments, and projects. You'll be assessed based on your performance throughout the program.

    How do I find an internship during the program?

    A: Our career services team assists students in finding internships by connecting them with our network of industry partners, providing resources for internship searches, and offering guidance on application processes and interview preparation

    Are internships a part of the Data Science program?

    A: Yes, internships are a crucial component of our program. They provide students with real-world experience, help them apply their knowledge in practical settings, and enhance their employability. We have partnerships with numerous companies to offer a wide range of internship opportunities.

    How does the institute support job placement for Data Science graduates?

    A: Our career services team offers a variety of resources to support job placement, including: • Job placement assistance and recruitment fairs • Resume and cover letter workshops • Interview preparation sessions • On-campus recruiting by top companies • Internship and co-op opportunities • Job search strategies and tools

    What is the average salary of a data scientist?

    The average salary for a data scientist in India is ₹9.4 Lakhs per year, with a salary range of ₹4.20 Lakhs to ₹25.1 Lakhs.

    Does the data science course offer job placement assistance or career support?

    Absolutely! WEBMOK goes the extra mile to ensure your success. We provide resume building, referrals, mock interviews, and career counseling to help you land your dream job with top companies.

    What are the job opportunities after completing this data science course?

    After completing the data science course, you can explore various job roles, including: • Data Scientist • Data Analyst • Machine Learning Engineer • Data Engineer • Business Analyst • Data Consultant • Research Scientist • Big Data Engineer • Statistician • AI Specialist Which top Industries are hiring data scientists? • Technology • Finance and Banking • Healthcare • Retail and E-commerce • Manufacturing • Government and Public Sector • Media and Entertainment • Energy • Education • Transportation

    Is Data Science a good career in 2024?

    Yes, Data Science is an excellent career choice in 2024. The field is growing rapidly, with high demand for professionals due to its continued relevance and the increasing importance of data-driven decisions.

    Are Data Science roles high in demand?

    A: Yes, Data Science roles are in high demand across various industries due to the increasing importance of data-driven decision-making. This demand translates to strong job prospects and competitive salaries for graduates.

    How is a Data Scientist different from a Data Analyst?

    A Data Scientist designs new data approaches, while a Data Analyst interprets existing data. Data Scientists create innovative ways to collect and analyze data, while Data Analysts extract insights from available data.

    How do I become a Data Scientist?

    To become a Data Scientist, follow these steps: • Learn the fundamentals of programming and statistics. • Acquire knowledge in machine learning and data analysis. • Build a strong portfolio of projects. • Pursue relevant courses. • Apply for Data Scientist positions.

    Who is a Data Scientist?

    A data scientist is an expert in data science who specializes in collecting and analyzing large amounts of data from diverse sources. They use their skills in mathematics, statistics, and computer science to help organizations make informed decisions based on data analysis.

    Is data science easy to learn?

    Data science can be challenging, as it requires a solid understanding of mathematics, statistics, and programming. However, with dedication and the right resources, it's accessible to those willing to learn.

    What is data science?

    Data science is a field of computer science that uses various algorithms, methods, and machine learning to uncover hidden and meaningful insights in both structured and unstructured data

    I don’t have coding background. Can I enroll in this Data Science program?

    A coding background is not required to enroll in this Data Science training. You can start from the Beginner module in which we will cover the basics of coding. In fact, prior knowledge in Data Science or ML is also not needed. We will cover all the relevant topics from scratch. The only prerequisite is that you should have a basic understanding of 9th and 10th-grade school maths - just the basics, nothing advanced. Still, we will cover these topics in class, but some prior knowledge would be helpful.

    Who is eligible for WEBMOK Data Science course?

    WEBMOK Data Science and Machine learning program is open to both freshers and working professionals. who are comfortable and confident with 10 standard aptitudes and mathematics.

    What skills will you learn in this Data Science certification course?

    In WEBMOK Data Science certification course, you'll acquire a wide range of skills, including: • Beginner skills in Excel, SQL, and Python. • Data analysis and visualization using Python libraries, probability, and statistics. • Foundations of machine learning, deep learning, and neural networks. • Specializations in either machine learning or deep learning. • Data mining • Big data analytics and cloud computing • Advanced knowledge in machine learning operations, data structures, and algorithms to excel in the field.

    Is there any eligibility test for enrolling in WEBMOK Data Science program?

    Yes, there is an eligibility test called the WEBMOK entrance test for enrolling in WEBMOK's Data Science program.

    Why Choose WEBMOK for Data Science?

    - Get to work on 50+ hands-on projects and real-world case studies to enrich your learning experience. - Get 1:1 Mentorship from Expert Data Scientists and ML Engineers! - Up-to-date curriculum with the fast -evolving Data Science and ML field. - Master essential tools and languages used in data science and machine learning. - Get Expert career guidance to help you navigate your path in data science.

    Is WEBMOK good for Data Science?

    Absolutely! WEBMOK offers a top-notch data science course designed to equip you with the skills and knowledge needed to excel in this field. Our program emphasizes hands-on learning with real-world projects and 1:1 mentorship from industry experts. We believe in providing practical experience that translates directly to the workplace. With our comprehensive curriculum and career support services, WEBMOK is an excellent choice for anyone looking to kickstart or advance their career in data science.

    What is the total tuition fee for this Data science course?

    The total Data Science course fees is ₹150,000. With EMI, you can pay this fees 3 installation.

    How will we cover all this in just 12 months?

    While designing the WEBMOK Data Science course, we did not put any limit on the duration. We included each and every concept that is important for making you a strong Data Scientist and ML Engineer. The course turned out to be 12 months long with more hands-on experience. Notice that the course is quite rigorous; each week you will have 4 Live lectures of 2.5 hours each, homework assignments, business case project, and discussion sessions. This allows us to cover the entire depth and breadth of Data Science & Machine Learning, as much as is required for you to succeed in the role.

    Working on a project would take a lot of time. How will we cover 50+ such projects in 15 months?

    25 data science projects will be assigned in homework and others will be covered in class. In each case, we will focus on a particular portion that is relevant to the topic being covered that week. Each case study is discussed in class, at the end of the week (Business Case Discussion Session) Submissions from all students are posted on an internal Discussion Forum where you can read how other students have solved that particular problem. Students are allowed to drop 25% of the total case studies, depending on their interest area. So they can focus the remaining time on other cases of their interest. As students practice working under deadlines, their speed and productivity will hopefully start improving.

    When are the live classes held?

    Live classes are held 3 times a week, on alternate days, primarily in the late evening or night on weekdays to accommodate working software engineers. Weekend timings are flexible

    What is the total duration of this Data science course?

    While designing the WEBMOK Data Science course, we did not put any limit on the duration. We included each and every concept that is important for making you a strong Data Scientist and ML Engineer. The course turned out to be 15 months long with more hands-on experience.

    Can I attend this Data Science online course part-time?

    Yes, you have the flexibility to attend WEBMOK’s Data Science online course on a part-time basis. In case you miss a live class, you can always access the recorded sessions. You can also take a break of up to 3 months, all this within the course duration.

    Why is WEBMOK Data Science program considered one of the best data science courses?

    WEBMOK Data Science and Machine Learning program is considered one of the best data science courses because- • Covers all essential data science topics, ensuring a holistic learning experience. • Emphasis on hands-on projects equips students with real-world skills, setting them up for success in the field. • Industry experts as instructors provide invaluable insights and knowledge. • WEBMOK's industry connections and placement assistance enhance job prospects. • The program caters to diverse backgrounds, offering flexibility in learning for all.

    Who should take this Data Science course?

    This Data Science course is designed for everyone, even if you have no coding experience. We offer a Beginner module that covers the basics of coding to get you started.

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