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 an interdisciplinary field that involves extracting insights and knowledge from data through various techniques such as statistics, machine learning, and data visualization. It combines elements of mathematics, statistics, computer science, and domain expertise to analyze and interpret complex data sets, ultimately enabling data-driven decision-making.
Learning data science is crucial because it equips individuals with the skills and knowledge to extract valuable insights from vast amounts of data. With data being generated at an unprecedented rate, organizations across industries are increasingly relying on data science to make informed business decisions, optimize processes, and gain a competitive edge.
To become a data scientist, you need a combination of technical and soft skills. Technical skills include proficiency in programming languages (such as Python or R), statistical analysis, machine learning, data visualization, and database querying. Soft skills encompass critical thinking, problem-solving, communication, and domain knowledge in the area you wish to apply data science.
To learn data science effectively, it is recommended to follow a structured approach. Start with a strong foundation in mathematics and statistics, then learn programming languages commonly used in data science, such as Python or R. Gain hands-on experience by working on real-world projects, participate in online courses or bootcamps, and explore relevant books, tutorials, and resources. Continuous practice, staying updated with industry trends, and joining data science communities can also enhance your learning journey.
Data scientists often face challenges such as accessing and cleaning data, dealing with missing or inconsistent data, managing large and complex datasets, selecting appropriate algorithms for analysis, and interpreting the results accurately. They may also encounter challenges related to communication with non-technical stakeholders and keeping up with the rapid advancements in the field.
The cost of a data science course in Agra ranges from INR 40,000 to INR 50,000 depending on the institute, course duration, and curriculum.
The eligibility criteria for learning a data science course can vary depending on the institute or program. Generally, a strong foundation in mathematics and statistics is beneficial. Many data science courses are open to individuals with a background in computer science, engineering, or a related field. However, some courses may also accept candidates from diverse backgrounds who demonstrate an aptitude for data science.
The scope of data science is vast and expanding across various industries. With the increasing availability of data and the need to extract meaningful insights, data scientists are in high demand. They can find opportunities in sectors such as finance, healthcare, e-commerce, marketing, telecommunications, and many more. The scope includes roles such as data analysts, data scientists, machine learning engineers, and data engineers.
A data science certification can provide several benefits. It validates your knowledge and skills in data science, making you more competitive in the job market. It demonstrates your commitment to continuous learning and professional development. Certifications can also help you gain credibility with employers and increase your chances of securing data science-related roles or advancing in your career.
Yes, there is a significant demand for data science courses. As the importance of data-driven decision-making grows across industries, there is an increasing need for professionals with data science skills.
Yes, SQL (Structured Query Language) is an important skill for data scientists. It is commonly used to retrieve, manipulate, and analyze data stored in relational databases. SQL allows data scientists to extract relevant information, perform data transformations, and create new tables or views for analysis. Proficiency in SQL can greatly enhance a data scientist's ability to work with data efficiently.
The career outlook for a fresher in data science is promising. With the increasing demand for data-driven decision-making, there is a need for skilled data scientists. As a fresher, you can start your career as a data analyst, junior data scientist, or data engineer. With time and experience, you can progress to more senior roles and take on responsibilities such as developing machine learning models, leading data science projects, and making strategic data-driven decisions.
Several top companies across industries are actively hiring data science freshers. Some notable examples include technology giants like Google, Microsoft, Amazon, Facebook, and Apple. Additionally, consulting firms like Deloitte, Accenture, and McKinsey, as well as financial institutions, healthcare organizations, e-commerce companies, and startups, are also hiring data science talent.
Yes, statistics is a fundamental component of data science. Understanding statistical concepts and techniques is crucial for analyzing and interpreting data accurately. Data scientists use statistical methods to summarize and describe data, identify patterns and trends, test hypotheses, and make predictions. Proficiency in statistics enables data scientists to draw meaningful insights from data and make informed decisions.
DataMites offers a range of data science courses, including:
CDS can refer to multiple things in different contexts. In the context of data science, CDS stands for "Certified Data Scientist." It may refer to a certification offered by a particular organization or institute, validating the skills and knowledge of an individual in the field of data science. However, without specific information, it is challenging to provide a more precise answer.
The Data Science course offered by DataMites in Agra is a comprehensive program that encompasses essential topics, hands-on experience through real-world projects, and industry-recognized certifications. It is an excellent option for individuals who are looking to succeed and thrive in the field of Data Science.
The Certified Data Scientist Course provided by DataMites in Agra welcomes individuals who possess a solid background in mathematics and programming, as well as those with prior experience in statistics, engineering, or related disciplines. This inclusivity makes the program ideal for a diverse range of participants who aspire to build a successful career in the field of Data Science.
Opting for the data science course offered by DataMites in Agra can be advantageous due to its all-encompassing training, hands-on experience gained from real-world projects, and industry-acknowledged certifications. This course equips individuals with the essential skills and knowledge required to thrive in the data science industry.
The course spans over 8 months and includes 700 hours of learning, with an additional 120 hours of live online training.
Yes, after completion of the data science course in Agra, the students are certified with globally recognized IABAC certification which helps them during job and internship programs.
Upon course completion, DataMites provides dedicated support and guidance for placements through their Placement Assistance Team (PAT). This ensures that individuals receive comprehensive assistance in securing employment opportunities, enhancing their chances of finding suitable job placements.
DataMites offers a diverse range of data science courses in Agra, 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 highly experienced educators in the field of data science. These instructors possess extensive expertise, along with the necessary qualifications and certifications. With their wealth of experience, they provide exceptional instruction, enabling students to gain a comprehensive 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 allows individuals to select the learning approach that best suits their needs and enables them to conveniently pursue their data science education.
DataMites offers an overview of its training approach and provides a complimentary demo class, allowing students to enhance their understanding of the training process and its components.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The payment mode available for the data science course in Agra through:
DataMites Data Science Course in Agra is available at different price points: INR 35,000 for live online training, INR 21,000 for blended learning, and INR 44,000 for on-demand classroom training.
Yes, To issue the participation certificate and book the certification exam, it is necessary to provide photo identification proofs such as a National ID card or a Driving license.
According to an Indeed report, the salary of data scientists in India ranges from INR 11,49,482 per year.
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.