Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
MODULE 1: DATA SCIENCE COURSE INTRODUCTION
MODULE 2: DATA SCIENCE ESSENTIALS
MODULE 3: DATA SCIENCE DEMO
MODULE 4: ANALYTICS CLASSIFICATION
MODULE 5: DATA SCIENCE AND RELATED FIELDS
MODULE 6: DATA SCIENCE ROLES & WORKFLOW
MODULE 7: MACHINE LEARNING INTRODUCTION
MODULE 8: DATA SCIENCE INDUSTRY APPLICATIONS
MODULE 1: PYTHON BASICS
MODULE 2: PYTHON CONTROL STATEMENTS
MODULE 3: PYTHON DATA STRUCTURES
MODULE 4: PYTHON FUNCTIONS
MODULE 5: PYTHON NUMPY PACKAGE
MODULE 6: PYTHON PANDASPACKAGE
MODULE 1: OVERVIEW OF STATISTICS
MODULE 2: HARNESSING DATA
MODULE 3: EXPLORATORY DATA ANALYSIS
MODULE 4: HYPOTHESIS TESTING
MODULE 5: CORRELATION AND REGRESSION
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: PYTHON NUMPY & PANDAS PACKAGE
MODULE 3: VISUALIZATION WITH PYTHON
MODULE 4: ML ALGO: LINEAR REGRESSION
MODULE 5: ML ALGO: KNN
MODULE 6: ML ALGO: LOGISTIC REGRESSION
MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 8: ML ALGO: K MEANS CLUSTERING
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 7: ML ALGO: DECISION TREE
MODULE 8 : ML ALGO: NAÏVE BAYES
MODULE 9: GRADIENT BOOSTING, XGBOOST
MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 12: ADVANCED ML CONCEPTS
MODULE 1: TIME SERIES FORECASTING - ARIMA
MODULE 2: FEATURE ENGINEERING
MODULE 3: SENTIMENT ANALYSIS
MODULE 4: REGULAR EXPRESSIONS WITH PYTHON
MODULE 5: ML MODEL DEPLOYMENT WITH FLASK
MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL
MODULE 7: AWS CLOUD FOR DATA SCIENCE
MODULE 8: AZURE FOR DATA SCIENCE
MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL)
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7 : DOCUMENT DB/NO-SQL DB
MODULE 1: GIT INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6: GIT WITH GITHUB AND BITBUCKET
MODULE 1: BIG DATA INTRODUCTION
MODULE 2 : HDFS AND MAP REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5 : MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4: TABLEAU : BUSINESS INSIGHTS
MODULE 5: DASHBOARDS, STORIES AND PAGES
MODULE 6: BI WITH POWER-BI
Data science is a multidisciplinary field that involves extracting knowledge and insights from data through various techniques, such as statistics, machine learning, and data visualization, to make informed decisions and solve complex problems.
Learning data science is important because it enables individuals and organizations to analyze and interpret vast amounts of data, leading to better decision-making, improved efficiency, and the ability to uncover valuable insights and patterns that can drive innovation and growth.
To become a data scientist, one needs a combination of technical skills like programming (Python, R, etc.), statistics, machine learning, data visualization, and domain knowledge, as well as critical thinking, problem-solving, and communication skills.
Effective learning of data science involves a combination of theoretical understanding and practical application. It is recommended to pursue a structured curriculum or online courses, engage in hands-on projects, participate in Kaggle competitions, and collaborate with others in the field to gain experience and deepen knowledge.
Common challenges faced by data scientists include dealing with messy and incomplete data, selecting appropriate techniques for analysis, handling large datasets, ensuring data privacy and security, and effectively communicating complex findings to non-technical stakeholders.
The cost of a data science course in Amritsar ranges from INR 40,000 to INR 50,000 depending on the institute, course duration, and curriculum.
The eligibility criteria for enrolling in a data science course may vary depending on the institution or program. Typically, a background in mathematics, statistics, computer science, or a related field is beneficial, but many courses also cater to beginners with no prior experience.
The scope of data science is vast and growing rapidly. Data scientists are in high demand across industries due to the increasing availability of data and the need to extract actionable insights from it. The field offers opportunities in areas like finance, healthcare, marketing, e-commerce, technology, and more.
Certification in data science is important as it provides credibility and validates one's knowledge and skills in the field. It can enhance job prospects, demonstrate competence to potential employers, and showcase a commitment to professional development.
Yes, there is a high demand for data science courses as organizations worldwide are recognizing the value of data-driven decision-making. This demand is driven by the need for skilled professionals who can analyze and interpret data effectively to derive actionable insights.
Data science is considered a safe career option due to the increasing demand for skilled professionals in the field. However, it is important to continuously update skills and stay updated with evolving technologies and techniques to remain competitive in the job market.
Data science can be challenging due to its multidisciplinary nature and the need to continuously learn and adapt to new tools and methodologies. It requires a strong foundation in mathematics and statistics, as well as the ability to work with large datasets and apply complex algorithms.
Python is one of the most popular programming languages in data science due to its rich ecosystem of libraries and tools. While Python is not the only language used in data science, having a strong understanding of Python is highly beneficial for tasks such as data manipulation, analysis, and machine learning.
SQL (Structured Query Language) is commonly used in data science for data extraction, manipulation, and querying from relational databases. Proficiency in SQL is valuable for accessing and managing large datasets efficiently, especially when working with structured data.
Statistics is an essential component of data science as it provides the foundation for understanding data and making meaningful inferences. It helps data scientists to analyze patterns, validate hypotheses, and make informed decisions based on data-driven insights.
The reasons to choose DataMites for a Data Science course in Amritsar include their experienced faculty, comprehensive curriculum covering various data science topics, practical hands-on approach, industry-relevant projects, and support for placement assistance.
The Certified Data Scientist Course offered by DataMites in Amritsar welcomes individuals with a solid background in mathematics and programming, as well as those with prior experience in statistics, engineering, or related fields. This inclusive approach accommodates a diverse range of participants who aspire to build a successful career in the field of Data Science.
One should consider a data science course offered by DataMites in Amritsar because they provide a well-structured curriculum, expert faculty, hands-on learning experience, practical projects, and industry-oriented training that can enhance knowledge and skills in data science, leading to better job prospects in field.
The course duration spans over 8 months with 700 learning hours, which includes 120 hours of live online training
Upon successfully finishing the data science course in Amritsar, students are awarded the highly regarded IABAC certification, recognized worldwide. This certification acts as a valuable asset when seeking employment or participating in internship programs, significantly improving their opportunities in the data science field.
Upon successfully finishing the course, DataMites offers robust placement support and guidance through their Placement Assistance Team (PAT). This personalized assistance ensures individuals receive comprehensive help in securing suitable job placements, greatly enhancing their prospects and opportunities for employment.
DataMites in Amritsar offers an extensive range of data science courses that cover various aspects, including Data Science Foundation, Data Science for Managers, Data Science Associate, Diploma in Data Science, Python for Data Science, Statistics for Data Science, Data Science Marketing, Data Science Operations, Data Science Retail, Data Science for HR, Data Science with Finance, and Data Science.
DataMites is renowned for its team of exceptionally experienced educators who are experts in the field of data science. With their extensive expertise, qualifications, and certifications, these instructors provide exceptional instruction, enabling students to gain a thorough understanding of the subject matter.
DataMites offers flexible learning options to cater to the preferences of students. They provide a variety of choices, including live online sessions, self-paced learning methods, and on-demand classroom training. This flexibility empowers individuals to select the learning approach that suits their needs, making it convenient for them to pursue their data science education.
DataMites offers an overview of its training approach and provides a complimentary demo class, allowing students to gain a thorough understanding of the training process and its components. This opportunity enables individuals to assess the quality and suitability of the training before making a commitment.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The payment mode available for the data science course in Amritsar through:
DataMites provides its Data Science Course in Amritsar at different price points, offering options such as INR 35,000 for live online training, INR 21,000 for blended learning, and INR 44,000 for on-demand classroom training. This flexible pricing structure enables individuals to select the plan that aligns with their budget and preferred learning mode.
To obtain the participation certificate and book the certification exam, it is necessary to provide valid photo identification proofs like a National ID card or a Driving license. These proofs are essential to ensure the authenticity and accuracy of the certification process.
The salary of a data scientist in India ranges from INR 11,30,556 per year according to a Glassdoor report.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.