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 combines scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Learning data science is important because it enables individuals to extract valuable insights from data, make data-driven decisions, solve complex problems, and drive innovation in various industries.
Key skills needed to become a data scientist include proficiency in programming languages like Python or R, statistical analysis, machine learning, data visualization, problem-solving, and domain knowledge.
One can effectively acquire data science knowledge through a combination of formal education, online courses, self-study, hands-on projects, participating in data science competitions, and continuous learning from available resources and communities.
Common challenges faced by data scientists include dealing with large and messy data, data privacy and security concerns, selecting appropriate algorithms and models, interpreting and communicating results effectively, and staying updated with the rapidly evolving field.B
The cost of a data science course in Gwalior can vary depending on the institution and program, but it generally ranges from INR 40,000 to INR 50,000.
The requirements for enrolling in a data science course typically include a bachelor's degree in a related field (such as computer science or statistics), programming skills, mathematical aptitude, and sometimes specific prerequisites or entrance exams set by the institution.
The field of data science offers promising career prospects, with opportunities in industries such as healthcare, finance, e-commerce, technology, and more. Data scientists can work as data analysts, data engineers, machine learning engineers, AI researchers, and consultants, among other roles.
Obtaining a certification in data science is important as it demonstrates proficiency and credibility in the field, enhances job prospects, validates skills and knowledge, and provides a competitive edge in a rapidly growing job market.
Yes, there is a high demand for data science courses due to the increasing need for skilled professionals who can handle and analyze large volumes of data, derive insights, and drive data-based decision-making in organizations.
Data science offers good career security as the demand for skilled data scientists continues to grow, and data-driven decision-making becomes essential across industries. However, staying updated with emerging technologies and continuous learning is crucial for long-term career growth.
The level of difficulty in studying data science can vary depending on an individual's background and prior experience. It requires a solid understanding of mathematics, statistics, programming, and concepts related to data analysis and machine learning, which may require dedicated effort and practice.
Python alone can suffice for data science as it is a widely used programming language in the field, offering extensive libraries and frameworks for data manipulation, analysis, machine learning, and visualization.
SQL knowledge is beneficial for data scientists as it enables efficient data extraction, transformation, and querying from relational databases, which are commonly used in many organizations. It complements the overall data science skill set.
A strong statistical background is crucial in data science as it forms the foundation for understanding and applying various data analysis techniques, hypothesis testing, experimental design, and interpreting results accurately. Statistical knowledge helps in making meaningful inferences from data.
DataMites in Gwalior is an exceptional option for individuals seeking a Data Science course. It distinguishes itself through its proficient faculty, a comprehensive curriculum covering a wide range of data science topics, a strong focus on practical learning through hands-on experiences, industry-aligned projects, and unwavering assistance in securing placement opportunities.
The DataMites Certified Data Scientist Course in Gwalior warmly welcomes individuals possessing a solid background in mathematics and programming, as well as those with prior exposure to statistics, engineering, or similar fields. By adopting this inclusive approach, the course accommodates a diverse group of participants who harbour aspirations of building successful careers in the ever-evolving realm of Data Science.
Considering the meticulously crafted curriculum, experienced faculty, interactive hands-on learning experiences, practical project assignments, and industry-centric training, choosing the DataMites data science course in Gwalior is a prudent decision. This comprehensive program effectively enhances your understanding and proficiency in the field of data science, subsequently amplifying your employment prospects.
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 Gwalior, students are awarded the highly regarded IABAC certification, which carries significant global recognition. This esteemed certification serves as a valuable credential, bolstering job prospects and facilitating participation in internship programs, thereby opening up abundant opportunities in the field of data science.
Upon the successful completion of the course, DataMites offers robust support and guidance for placements through their dedicated Placement Assistance Team (PAT). The PAT provides personalized assistance, ensuring individuals receive comprehensive support in securing well-suited job placements. This tailored support significantly enhances employment prospects, unlocking a plethora of opportunities in the field of data science.
DataMites offers an extensive range of data science courses in Gwalior that cover a diverse array of topics. These courses include 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 exceptional team of industry-expert educators who possess extensive experience and profound knowledge in the field of data science. These instructors are highly qualified, hold prestigious certifications, and bring their extensive expertise to the classroom, delivering outstanding instruction. Their guidance empowers students to cultivate a comprehensive understanding of the subject matter.
DataMites understands the diverse preferences of students and offers flexible learning options to cater to their needs. They provide a variety of choices, including live online sessions, self-paced learning, and on-demand classroom training. This flexibility enables individuals to select the learning approach that aligns best with their requirements, making it convenient for them to pursue their data science education.
DataMites offers a thorough explanation of its training approach, ensuring students have a clear understanding of the training process and its components. Moreover, they provide a complimentary demo class, giving individuals an opportunity to fully comprehend the training methodology. This enables prospective students to assess the quality and suitability of the training before making a commitment, ensuring a well-informed decision.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The payment mode available for the data science course in Gwalior through:
DataMites presents its Data Science Course in Gwalior at different price points, offering a range of options to cater to diverse preferences. These include 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 empowers individuals to select the plan that aligns with their budget and preferred mode of learning.
In order to obtain the participation certificate and book the certification exam, it is necessary to provide valid photo identification proofs such as a National ID card or a Driving license. These identification proofs play a vital role in verifying the authenticity and accuracy of the certification process.
According to a PayScale report, the salary of a data scientist in India ranges from INR 9,10,238 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.